Stuart Russell

286 papers A* 76A 34B 3C 2Misc 2Journal 123Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asking for Help Enables Safety Guarantees Without Sacrificing Effectiveness. CoRR Benjamin Plaut, Juan Liévano-Karim, Stuart Russell
2025	A*	`conf`	AssistanceZero: Scalably Solving Assistance Games. ICML Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan
2025	J	`jnl`	AssistanceZero: Scalably Solving Assistance Games. CoRR Cassidy Laidlaw, Eli Bronstein, Timothy Guo, Dylan Feng, Lukas Berglund, Justin Svegliato, Stuart Russell, Anca D. Dragan
2025	A*	`conf`	Avoiding Catastrophe in Online Learning by Asking for Help. ICML Benjamin Plaut, Hanlin Zhu, Stuart Russell
2025	A*	`conf`	BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping. ICLR Aly Lidayan, Michael D. Dennis, Stuart Russell
2025	A*	`conf`	Diffusion On Syntax Trees For Program Synthesis. ICLR Shreyas Kapur, Erik Jenner, Stuart Russell
2025	J	`jnl`	E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework. CoRR Adeela Islam, Stefano Fiorini, Manuel Lecha, Theodore Tsesmelis, Stuart Russell, Pietro Morerio, Alessio Del Bue
2025	J	`jnl`	Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought. CoRR Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian
2025	A*	`conf`	Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts. ICML Jiahai Feng, Stuart Russell, Jacob Steinhardt
2025	J	`jnl`	GSM-Agent: Understanding Agentic Reasoning Using Controllable Environments. CoRR Hanlin Zhu, Tianyu Guo, Song Mei, Stuart Russell, Nikhil Ghosh, Alberto Bietti, Jiantao Jiao
2025	J	`jnl`	Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers. CoRR Yixiao Huang, Hanlin Zhu, Tianyu Guo, Jiantao Jiao, Somayeh Sojoudi, Michael I. Jordan, Stuart Russell, Song Mei
2025	J	`jnl`	How Do LLMs Perform Two-Hop Reasoning in Context? CoRR Tianyu Guo, Hanlin Zhu, Ruiqi Zhang, Jiantao Jiao, Song Mei, Michael I. Jordan, Stuart Russell
2025	J	`jnl`	International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Nestor Maslej, Conor McGlynn, Malcolm Murray, Shalaleh Rismani, Stephen Casper, Jessica Newman, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yanning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Noora AlMalek, Christian Busch, André Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report. CoRR Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2025	A*	`conf`	Monitoring Latent World States in Language Models with Propositional Probes. ICLR Jiahai Feng, Stuart Russell, Jacob Steinhardt
2025	A*	`conf`	Observation Interference in Partially Observable Assistance Games. ICML Scott Emmons, Caspar Oesterheld, Vincent Conitzer, Stuart Russell
2025	—	`ed.`	Proceedings of the 4th International Conference on Hybrid Human-Artificial Intelligence, HHAI 2025, Pisa, Italy, June 9-13, 2025 HHAI Dino Pedreschi, Michela Milano, Ilaria Tiddi, Stuart Russell, Chiara Boldrini, Luca Pappalardo, Andrea Passerini, Shenghui Wang
2025	J	`jnl`	Provable Sim-to-Real Transfer via Offline Domain Randomization. CoRR Arnaud Fickinger, Abderrahim Bendahi, Stuart Russell
2025	A	`conf`	RL, but don't do anything I wouldn't do. UAI Michael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell
2025	J	`jnl`	Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought. CoRR Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian
2025	J	`jnl`	Robust and Diverse Multi-Agent Learning via Rational Policy Gradient. CoRR Niklas Lauffer, Ameesh Shah, Micah Carroll, Sanjit A. Seshia, Stuart Russell, Michael Dennis
2025	J	`jnl`	Synthetic Error Injection Fails to Elicit Self-Correction In Language Models. CoRR David X. Wu, Shreyas Kapur, Anant Sahai, Stuart Russell
2025	A*	`conf`	The Partially Observable Off-Switch Game. AAAI Andrew Garber, Rohan Subramani, Linus Luu, Mark Bedaywi, Stuart Russell, Scott Emmons
2025	J	`jnl`	The Singapore Consensus on Global AI Safety Research Priorities. CoRR Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic
2024	A*	`conf`	AI Alignment with Changing and Influenceable Reward Functions. ICML Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan
2024	J	`jnl`	AI Alignment with Changing and Influenceable Reward Functions. CoRR Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan
2024	J	`jnl`	AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. Alistair Knott, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio
2024	J	`jnl`	Avoiding Catastrophe in Continuous Spaces by Asking for Help. CoRR Benjamin Plaut, Hanlin Zhu, Stuart Russell
2024	J	`jnl`	BAMDP Shaping: a Unified Theoretical Framework for Intrinsic Motivation and Reward Shaping. CoRR Aly Lidayan, Michael Dennis, Stuart Russell
2024	J	`jnl`	Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics Inf. Technol. Alistair Knott, Dino Pedreschi, Toshiya Jitsuzumi, Susan Leavy, David M. Eyers, Tapabrata Chakraborti, Andrew Trotman, Sundar Sundareswaran, Ricardo Baeza-Yates, Przemyslaw Biecek, Adrian Weller, Paul D. Teal, Subhadip Basu, Mehmet Haklidir, Virginia Morini, Stuart Russell, Yoshua Bengio
2024	J	`jnl`	Diffusion On Syntax Trees For Program Synthesis. CoRR Shreyas Kapur, Erik Jenner, Stuart Russell
2024	A*	`conf`	Ethically Compliant Autonomous Systems under Partial Observability. ICRA Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
2024	J	`jnl`	Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. CoRR Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell
2024	J	`jnl`	Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts. CoRR Jiahai Feng, Stuart Russell, Jacob Steinhardt
2024	A*	`conf`	Image Hijacks: Adversarial Images can Control Generative Models at Runtime. ICML Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons
2024	J	`jnl`	International Scientific Report on the Safety of Advanced AI (Interim Report). CoRR Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Danielle Goldfarb, Hoda Heidari, Leila Khalatbari, Shayne Longpre, Vasilios Mavroudis, Mantas Mazeika, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Theodora Skeadas, Florian Tramèr, Bayo Adekanmbi, Paul F. Christiano, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Nick R. Jennings, Andreas Krause, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Arvind Narayanan, Alondra Nelson, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang
2024	J	`jnl`	Monitoring Latent World States in Language Models with Propositional Probes. CoRR Jiahai Feng, Stuart Russell, Jacob Steinhardt
2024	J	`jnl`	Observation Interference in Partially Observable Assistance Games. CoRR Scott Emmons, Caspar Oesterheld, Vincent Conitzer, Stuart Russell
2024	A*	`conf`	On Representation Complexity of Model-based and Model-free Reinforcement Learning. ICLR Hanlin Zhu, Baihe Huang, Stuart Russell
2024	A*	`conf`	Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback. ICML Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
2024	J	`jnl`	RL, but don't do anything I wouldn't do. CoRR Michael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell
2024	J	`jnl`	Social Choice for AI Alignment: Dealing with Diverse Human Feedback. CoRR Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
2024	A*	`conf`	Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. ICLR Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell
2024	A*	`conf`	The Effective Horizon Explains Deep RL Performance in Stochastic Environments. ICLR Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
2024	J	`jnl`	Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit A. Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette M. Wing, Joshua B. Tenenbaum
2024	J	`jnl`	Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics. CoRR Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael I. Jordan, Jiantao Jiao, Yuandong Tian, Stuart Russell
2024	Misc	`conf`	Trajectory Improvement and Reward Learning from Comparative Language Feedback. CoRL Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca D. Dragan, Erdem Biyik
2024	J	`jnl`	When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. CoRR Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons
2024	J	`jnl`	Will an AI with Private Information Allow Itself to Be Switched Off? CoRR Andrew Garber, Rohan Subramani, Linus Luu, Mark Bedaywi, Stuart Russell, Scott Emmons
2023	J	`jnl`	ALMANACS: A Simulatability Benchmark for Language Model Explainability. CoRR Edmund Mills, Shiye Su, Stuart Russell, Scott Emmons
2023	—	`conf`	Active Reward Learning from Multiple Teachers. SafeAI@AAAI Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
2023	J	`jnl`	Active Reward Learning from Multiple Teachers. CoRR Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
2023	J	`jnl`	Active teacher selection for reinforcement learning from human feedback. CoRR Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell
2023	A*	`conf`	Adversarial Policies Beat Superhuman Go AIs. ICML Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
2023	J	`jnl`	Bridging RL Theory and Practice with the Effective Horizon. CoRR Cassidy Laidlaw, Stuart Russell, Anca D. Dragan
2023	A	`conf`	Formal Composition of Robotic Systems as Contract Programs. IROS Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
2023	J	`jnl`	Generative AI models should include detection mechanisms as a condition for public release. Ethics Inf. Technol. Alistair Knott, Dino Pedreschi, Raja Chatila, Tapabrata Chakraborti, Susan Leavy, Ricardo Baeza-Yates, David M. Eyers, Andrew Trotman, Paul D. Teal, Przemyslaw Biecek, Stuart Russell, Yoshua Bengio
2023	J	`jnl`	Image Hijacks: Adversarial Images can Control Generative Models at Runtime. CoRR Luke Bailey, Euan Ong, Stuart Russell, Scott Emmons
2023	A*	`conf`	Invariance in Policy Optimisation and Partial Identifiability in Reward Learning. ICML Joar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave
2023	J	`jnl`	Managing AI Risks in an Era of Rapid Progress. CoRR Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann
2023	J	`jnl`	On Representation Complexity of Model-based and Model-free Reinforcement Learning. CoRR Hanlin Zhu, Baihe Huang, Stuart Russell
2023	A*	`conf`	Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. ICLR Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
2023	A	`conf`	SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. AISTATS Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka
2023	J	`jnl`	TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI. CoRR Andrew Critch, Stuart Russell
2023	J	`jnl`	Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR Sam Toyer, Olivia Watkins, Ethan Adrian Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, Trevor Darrell, Alan Ritter, Stuart Russell
2023	J	`jnl`	The Effective Horizon Explains Deep RL Performance in Stochastic Environments. CoRR Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca D. Dragan
2023	A*	`conf`	Who Needs to Know? Minimal Knowledge for Optimal Coordination. ICML Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell
2023	J	`jnl`	Who Needs to Know? Minimal Knowledge for Optimal Coordination. CoRR Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael Dennis, Stuart Russell
2022	J	`jnl`	Adversarial Policies Beat Professional-Level Go AIs. CoRR Tony Tong Wang, Adam Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
2022	J	`jnl`	An Empirical Investigation of Representation Learning for Imitation. CoRR Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
2022	—	`ch.`	Artificial Intelligence and the Problem of Control. Perspectives on Digital Humanism Stuart Russell
2022	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. IEEE Trans. Inf. Theory Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2022	J	`jnl`	Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory. CoRR Andrew Critch, Michael Dennis, Stuart Russell
2022	A*	`conf`	Cross-Domain Imitation Learning via Optimal Transport. ICLR Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos
2022	A*	`conf`	Estimating and Penalizing Induced Preference Shifts in Recommender Systems. ICML Micah D. Carroll, Anca D. Dragan, Stuart Russell, Dylan Hadfield-Menell
2022	J	`jnl`	Estimating and Penalizing Induced Preference Shifts in Recommender Systems. CoRR Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2022	A*	`conf`	For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. ICML Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell
2022	J	`jnl`	For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria. CoRR Scott Emmons, Caspar Oesterheld, Andrew Critch, Vincent Conitzer, Stuart Russell
2022	—	`ch.`	Human-Compatible Artificial Intelligence. Human-Like Machine Intelligence Stuart Russell
2022	J	`jnl`	Invariance in Policy Optimisation and Partial Identifiability in Reward Learning. CoRR Joar Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave
2022	J	`jnl`	Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. CoRR Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
2022	A	`conf`	Provably Beneficial Artificial Intelligence. IUI Stuart Russell
2022	A	`conf`	Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. IROS Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein
2022	J	`jnl`	Social impact and governance of AI and neurotechnologies. Neural Networks Kenji Doya, Arisa Ema, Hiroaki Kitano, Masamichi Sakagami, Stuart Russell
2022	J	`jnl`	imitation: Clean Imitation Learning Implementations. CoRR Adam Gleave, Mohammad Taufeeque, Juan Rocamonde, Erik Jenner, Steven H. Wang, Sam Toyer, Maximilian Ernestus, Nora Belrose, Scott Emmons, Stuart Russell
2021	—	`ch.`	AI for Humanity: The Global Challenges. Reflections on Artificial Intelligence for Humanity Jocelyn Maclure, Stuart Russell
2021	A	`conf`	Accumulating Risk Capital Through Investing in Cooperation. AAMAS Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell
2021	J	`jnl`	Accumulating Risk Capital Through Investing in Cooperation. CoRR Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell
2021	—	`conf`	An Empirical Investigation of Representation Learning for Imitation. NeurIPS Datasets and Benchmarks Cynthia Chen, Xin Chen, Sam Toyer, Cody Wild, Scott Emmons, Ian Fischer, Kuang-Huei Lee, Neel Alex, Steven H. Wang, Ping Luo, Stuart Russell, Pieter Abbeel, Rohin Shah
2021	A*	`conf`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. NeurIPS Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism. CoRR Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell
2021	J	`jnl`	Clusterability in Neural Networks. CoRR Daniel Filan, Stephen Casper, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
2021	J	`jnl`	Cross-Domain Imitation Learning via Optimal Transport. CoRR Arnaud Fickinger, Samuel Cohen, Stuart Russell, Brandon Amos
2021	J	`jnl`	Detecting Modularity in Deep Neural Networks. CoRR Shlomi Hod, Stephen Casper, Daniel Filan, Cody Wild, Andrew Critch, Stuart Russell
2021	A	`conf`	Estimating and Penalizing Preference Shift in Recommender Systems. RecSys Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2021	J	`jnl`	Explore and Control with Adversarial Surprise. CoRR Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine
2021	J	`jnl`	Learning the Preferences of Uncertain Humans with Inverse Decision Theory. CoRR Cassidy Laidlaw, Stuart Russell
2021	A*	`conf`	MADE: Exploration via Maximizing Deviation from Explored Regions. NeurIPS Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph E. Gonzalez, Stuart Russell
2021	J	`jnl`	MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
2021	A*	`conf`	Quantifying Differences in Reward Functions. ICLR Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
2021	J	`jnl`	Scalable Online Planning via Reinforcement Learning Fine-Tuning. CoRR Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
2021	J	`jnl`	The MineRL BASALT Competition on Learning from Human Feedback. CoRR Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca D. Dragan
2021	—	`ch.`	Trustworthy AI. Reflections on Artificial Intelligence for Humanity Raja Chatila, Virginia Dignum, Michael Fisher, Fosca Giannotti, Katharina Morik, Stuart Russell, Karen Yeung
2021	A*	`conf`	Uncertain Decisions Facilitate Better Preference Learning. NeurIPS Cassidy Laidlaw, Stuart Russell
2020	A*	`conf`	Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell
2020	—	`book`	Artificial Intelligence: A Modern Approach (4th Edition). Stuart Russell, Peter Norvig
2020	J	`jnl`	DERAIL: Diagnostic Environments for Reward And Imitation Learning. CoRR Pedro Freire, Adam Gleave, Sam Toyer, Stuart Russell
2020	A*	`conf`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	J	`jnl`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	J	`jnl`	Multi-Principal Assistance Games. CoRR Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell, Stuart Russell
2020	J	`jnl`	Multi-Principal Assistance Games: Definition and Collegial Mechanisms. CoRR Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell
2020	J	`jnl`	Neural Networks are Surprisingly Modular. CoRR Daniel Filan, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
2020	J	`jnl`	Quantifying Differences in Reward Functions. CoRR Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
2020	J	`jnl`	SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory. CoRR Paria Rashidinejad, Jiantao Jiao, Stuart Russell
2020	A*	`conf`	SLIP: Learning to predict in unknown dynamical systems with long-term memory. NeurIPS Paria Rashidinejad, Jiantao Jiao, Stuart Russell
2020	A*	`conf`	The MAGICAL Benchmark for Robust Imitation. NeurIPS Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
2020	J	`jnl`	The MAGICAL Benchmark for Robust Imitation. CoRR Sam Toyer, Rohin Shah, Andrew Critch, Stuart Russell
2020	J	`jnl`	Understanding Learned Reward Functions. CoRR Eric J. Michaud, Adam Gleave, Stuart Russell
2019	J	`jnl`	Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell
2019	A*	`conf`	Bayesian Relational Memory for Semantic Visual Navigation. ICCV Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
2019	J	`jnl`	Bayesian Relational Memory for Semantic Visual Navigation. CoRR Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
2019	A*	`conf`	Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient. AAAI Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell
2018	A*	`conf`	An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2018	J	`jnl`	An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. CoRR Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2018	A*	`conf`	Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. ICML Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell
2018	J	`jnl`	Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms. CoRR Yi Wu, Siddharth Srivastava, Nicholas Hay, Simon S. Du, Stuart Russell
2018	J	`jnl`	Inverse reinforcement learning for video games. CoRR Aaron Tucker, Adam Gleave, Stuart Russell
2018	J	`jnl`	Learning Plannable Representations with Causal InfoGAN. CoRR Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel
2018	J	`jnl`	Learning and Planning with a Semantic Model. CoRR Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian
2017	A*	`conf`	A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models. AAAI Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell
2017	A*	`conf`	Adversarial Training for Relation Extraction. EMNLP Yi Wu, David Bamman, Stuart Russell
2017	C	`conf`	Concurrent Hierarchical Reinforcement Learning for RoboCup Keepaway. RoboCup Aijun Bai, Stuart Russell, Xiaoping Chen
2017	A*	`conf`	Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions. IJCAI Aijun Bai, Stuart Russell
2017	J	`jnl`	Inverse Reward Design. CoRR Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart Russell, Anca D. Dragan
2017	J	`jnl`	Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making. CoRR Andrew Critch, Stuart Russell
2017	A*	`conf`	Should Robots be Obedient? IJCAI Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell
2017	J	`jnl`	Should Robots be Obedient? CoRR Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell
2017	A	`conf`	Signal-based Bayesian Seismic Monitoring. AISTATS David A. Moore, Stuart Russell
2017	—	`conf`	The Off-Switch Game. AAAI Workshops Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2017	A*	`conf`	The Off-Switch Game. IJCAI Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2016	C	`ed.`	AI, Ethics, and Society, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016. AAAI Workshop: AI, Ethics, and Society Blai Bonet, Sven Koenig, Benjamin Kuipers, Illah R. Nourbakhsh, Stuart Russell, Moshe Y. Vardi, Toby Walsh
2016	—	`conf`	Cooperative Inverse Reinforcement Learning. NIPS Dylan Hadfield-Menell, Stuart Russell, Pieter Abbeel, Anca D. Dragan
2016	J	`jnl`	Cooperative Inverse Reinforcement Learning. CoRR Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2016	A*	`conf`	Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. IJCAI Aijun Bai, Siddharth Srivastava, Stuart Russell
2016	A*	`conf`	Metaphysics of Planning Domain Descriptions. AAAI Siddharth Srivastava, Stuart Russell, Alessandro Pinto
2016	J	`jnl`	Research Priorities for Robust and Beneficial Artificial Intelligence. CoRR Stuart Russell, Daniel Dewey, Max Tegmark
2016	A	`conf`	Sequential quadratic programming for task plan optimization. IROS Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel
2016	A*	`conf`	Swift: Compiled Inference for Probabilistic Programming Languages. IJCAI Yi Wu, Lei Li, Stuart Russell, Rastislav Bodík
2016	J	`jnl`	Swift: Compiled Inference for Probabilistic Programming Languages. CoRR Yi Wu, Lei Li, Stuart Russell, Rastislav Bodík
2016	J	`jnl`	The Off-Switch Game. CoRR Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2016	—	`conf`	The Physics of Text: Ontological Realism in Information Extraction. AKBC@NAACL-HLT Stuart Russell, Ole Torp Lassen, Justin Uang, Wei Wang
2016	J	`jnl`	Towards Practical Bayesian Parameter and State Estimation. CoRR Yusuf Bugra Erol, Yi Wu, Lei Li, Stuart Russell
2015	A	`conf`	A Smart-Dumb/Dumb-Smart Algorithm for Efficient Split-Merge MCMC. UAI Wei Wang, Stuart Russell
2015	J	`jnl`	Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter. AI Mag. Stuart Russell, Tom Dietterich, Eric Horvitz, Bart Selman, Francesca Rossi, Demis Hassabis, Shane Legg, Mustafa Suleyman, Dileep George, D. Scott Phoenix
2015	—	`conf`	Metaphysics of Planning Domain Descriptions. AAAI Fall Symposia Siddharth Srivastava, Stuart Russell, Alessandro Pinto
2015	A	`conf`	Multitasking: Optimal Planning for Bandit Superprocesses. UAI Dylan Hadfield-Menell, Stuart Russell
2015	J	`jnl`	Probabilistic Model-Based Approach for Heart Beat Detection. CoRR Hugh Chen, Yusuf Erol, Eric Shen, Stuart Russell
2015	J	`jnl`	Research Priorities for Robust and Beneficial Artificial Intelligence. AI Mag. Stuart Russell, Daniel Dewey, Max Tegmark
2015	A*	`conf`	Tractability of Planning with Loops. AAAI Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell
2015	J	`jnl`	Unifying logic and probability. Commun. ACM Stuart Russell
2015	J	`jnl`	Who speaks for AI? AI Matters Eric Eaton, Tom Dietterich, Maria L. Gini, Barbara J. Grosz, Charles L. Isbell Jr., Subbarao Kambhampati, Michael L. Littman, Francesca Rossi, Stuart Russell, Peter Stone, Toby Walsh, Michael J. Wooldridge
2014	A*	`conf`	Combined task and motion planning through an extensible planner-independent interface layer. ICRA Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, Pieter Abbeel
2014	A	`conf`	Fast Gaussian Process Posteriors with Product Trees. UAI David A. Moore, Stuart Russell
2014	A	`conf`	First-Order Open-Universe POMDPs. UAI Siddharth Srivastava, Stuart Russell, Paul Ruan, Xiang Cheng
2014	J	`jnl`	Selecting Computations: Theory and Applications. CoRR Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony
2014	—	`conf`	Unifying Logic and Probability: A New Dawn for AI? IPMU (1) Stuart Russell
2013	J	`jnl`	Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information CoRR Sampath Srinivas, Stuart Russell, Alice M. Agogino
2013	J	`jnl`	Decayed MCMC Filtering CoRR Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres
2013	A	`conf`	Dynamic Scaled Sampling for Deterministic Constraints. AISTATS Lei Li, Bharath Ramsundar, Stuart Russell
2013	J	`jnl`	Fine-Grained Decision-Theoretic Search Control CoRR Stuart Russell
2013	J	`jnl`	Image Segmentation in Video Sequences: A Probabilistic Approach CoRR Nir Friedman, Stuart Russell
2013	J	`jnl`	Learning the Structure of Dynamic Probabilistic Networks CoRR Nir Friedman, Kevin P. Murphy, Stuart Russell
2013	—	`conf`	Multilinear Dynamical Systems for Tensor Time Series. NIPS Mark Rogers, Lei Li, Stuart Russell
2013	—	`conf`	Product Trees for Gaussian Process Covariance in Sublinear Time. UAI Application Workshops David A. Moore, Stuart Russell
2013	J	`jnl`	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks CoRR Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell
2013	—	`conf`	Rationality and Intelligence: A Brief Update. PT-AI Stuart Russell
2013	J	`jnl`	Stochastic Simulation Algorithms for Dynamic Probabilistic Networks CoRR Keiji Kanazawa, Daphne Koller, Stuart Russell
2013	J	`jnl`	The Extended Parameter Filter CoRR Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart Russell
2013	—	`conf`	The Extended Parameter Filter. ICML (3) Yusuf Erol, Lei Li, Bharath Ramsundar, Stuart Russell
2013	J	`jnl`	Variational MCMC CoRR Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Michael I. Jordan, Stuart Russell
2013	—	`conf`	Writing and sketching in the air, recognizing and controlling on the fly. CHI Extended Abstracts Sharad Vikram, Lei Li, Stuart Russell
2012	J	`jnl`	A Generalized Mean Field Algorithm for Variational Inference in Exponential Families CoRR Eric P. Xing, Michael I. Jordan, Stuart Russell
2012	J	`jnl`	A compact, hierarchical Q-function decomposition. CoRR Bhaskara Marthi, Stuart Russell, David Andre
2012	J	`jnl`	A temporally abstracted Viterbi algorithm CoRR Shaunak Chatterjee, Stuart Russell
2012	J	`jnl`	Efficient Gradient Estimation for Motor Control Learning CoRR Gregory Lawrence, Noah J. Cowan, Stuart Russell
2012	—	`conf`	First-Order Models for POMDPs. StarAI@UAI Siddharth Srivastava, Stuart Russell, Avi Pfeffer
2012	J	`jnl`	General-Purpose MCMC Inference over Relational Structures. CoRR Brian Milch, Stuart Russell
2012	J	`jnl`	Gibbs Sampling in Open-Universe Stochastic Languages CoRR Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart Russell
2012	J	`jnl`	Graph partition strategies for generalized mean field inference CoRR Eric P. Xing, Michael I. Jordan, Stuart Russell
2012	J	`jnl`	Improving Gradient Estimation by Incorporating Sensor Data CoRR Gregory Lawrence, Stuart Russell
2012	J	`jnl`	RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains CoRR Emma Brunskill, Stuart Russell
2012	J	`jnl`	Selecting Computations: Theory and Applications CoRR Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony
2012	A	`conf`	Selecting Computations: Theory and Applications. UAI Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony
2012	—	`conf`	Uncertain Observation Times. SUM Shaunak Chatterjee, Stuart Russell
2011	A	`conf`	A temporally abstracted Viterbi algorithm. UAI Shaunak Chatterjee, Stuart Russell
2011	A*	`conf`	Bounded Intention Planning. IJCAI Jason Andrew Wolfe, Stuart Russell
2011	A*	`conf`	Global Seismic Monitoring: A Bayesian Approach. AAAI Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik B. Sudderth
2011	B	`conf`	Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System. EDM Emma Brunskill, Stuart Russell
2010	—	`conf`	Automatic Inference in BLOG. StarAI@AAAI Nimar S. Arora, Stuart Russell, Erik B. Sudderth
2010	A*	`conf`	Combined Task and Motion Planning for Mobile Manipulation. ICAPS Jason Andrew Wolfe, Bhaskara Marthi, Stuart Russell
2010	A	`conf`	Gibbs Sampling in Open-Universe Stochastic Languages. UAI Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth, Stuart Russell
2010	—	`conf`	Global seismic monitoring as probabilistic inference. NIPS Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik B. Sudderth
2010	—	`conf`	Hierarchical Planning for Mobile Manipulation. Bridging the Gap Between Task and Motion Planning Jason Andrew Wolfe, Bhaskara Marthi, Stuart Russell
2010	—	`conf`	Modelling Glycaemia in ICU Patients - A Dynamic Bayesian Network Approach. BIOSIGNALS Catherine G. Enright, Michael G. Madden, Stuart Russell, Norm Aleks, Geoffrey T. Manley, John G. Laffey, Brian Harte, Anne Mulvey, Niall Madden
2010	A	`conf`	RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains. UAI Emma Brunskill, Stuart Russell
2010	J	`jnl`	Reports of the AAAI 2010 Conference Workshops. AI Mag. David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
2010	A	`conf`	Why are DBNs sparse? AISTATS Shaunak Chatterjee, Stuart Russell
2009	—	`conf`	Anytime Lifted Belief Propagation. MLG/SRL@ILP Rodrigo de Salvo Braz, Sriraam Natarajan, Hung Bui, Jude W. Shavlik, Stuart Russell
2009	J	`jnl`	Markov Chain Monte Carlo Data Association for Multi-Target Tracking. IEEE Trans. Autom. Control. Songhwai Oh, Stuart Russell, Shankar Sastry
2009	J	`jnl`	Technical perspective - The ultimate pilot program. Commun. ACM Stuart Russell, Lawrence K. Saul
2008	A*	`conf`	Angelic Hierarchical Planning: Optimal and Online Algorithms. ICAPS Bhaskara Marthi, Stuart Russell, Jason Andrew Wolfe
2008	A	`conf`	Improving Gradient Estimation by Incorporating Sensor Data. UAI Gregory Lawrence, Stuart Russell
2008	—	`conf`	Probabilistic detection of short events, with application to critical care monitoring. NIPS Norm Aleks, Stuart Russell, Michael G. Madden, Diane Morabito, Kristan Staudenmayer, Mitchell J. Cohen, Geoffrey T. Manley
2007	A*	`conf`	Angelic Semantics for High-Level Actions. ICAPS Bhaskara Marthi, Stuart Russell, Jason Andrew Wolfe
2006	A	`conf`	A Compact, Hierarchical Q-function Decomposition. UAI Bhaskara Marthi, Stuart Russell, David Andre
2006	B	`conf`	First-Order Probabilistic Languages: Into the Unknown. ILP Brian Milch, Stuart Russell
2006	A	`conf`	General-Purpose MCMC Inference over Relational Structures. UAI Brian Milch, Stuart Russell
2006	A*	`conf`	On Some Tractable Cases of Logical Filtering. ICAPS T. K. Satish Kumar, Stuart Russell
2005	A	`conf`	Approximate Inference for Infinite Contingent Bayesian Networks. AISTATS Brian Milch, Bhaskara Marthi, David A. Sontag, Stuart Russell, Daniel L. Ong, Andrey Kolobov
2005	—	`conf`	BLOG: Probabilistic Models with Unknown Objects. Probabilistic, Logical and Relational Learning Brian Milch, Bhaskara Marthi, Stuart Russell, David A. Sontag, Daniel L. Ong, Andrey Kolobov
2005	A*	`conf`	BLOG: Probabilistic Models with Unknown Objects. IJCAI Brian Milch, Bhaskara Marthi, Stuart Russell, David A. Sontag, Daniel L. Ong, Andrey Kolobov
2005	A*	`conf`	Concurrent Hierarchical Reinforcement Learning. IJCAI Bhaskara Marthi, Stuart Russell, David Latham, Carlos Guestrin
2005	A*	`conf`	Efficient belief-state AND-OR search, with application to Kriegspiel. IJCAI Stuart Russell, Jason Andrew Wolfe
2004	—	`book`	Künstliche Intelligenz - ein moderner Ansatz, 2. Auflage. Stuart Russell, Peter Norvig
2004	—	`conf`	Markov chain Monte Carlo data association for general multiple-target tracking problems. CDC Songhwai Oh, Stuart Russell, Shankar Sastry
2003	A	`conf`	A generalized mean field algorithm for variational inference in exponential families. UAI Eric P. Xing, Michael I. Jordan, Stuart Russell
2003	—	`book`	Artificial intelligence - a modern approach, 2nd Edition. Stuart Russell, Peter Norvig
2003	A	`conf`	Efficient Gradient Estimation for Motor Control Learning. UAI Gregory Lawrence, Noah J. Cowan, Stuart Russell
2003	A*	`conf`	Logical Filtering. IJCAI Eyal Amir, Stuart Russell
2003	A*	`conf`	Q-Decomposition for Reinforcement Learning Agents. ICML Stuart Russell, Andrew Zimdars
2002	—	`conf`	A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences. NIPS Eric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart Russell
2002	A	`conf`	Decayed MCMC Filtering. UAI Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres
2002	—	`conf`	Distance Metric Learning with Application to Clustering with Side-Information. NIPS Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart Russell
2002	—	`conf`	Identity Uncertainty and Citation Matching. NIPS Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, Ilya Shpitser
2001	A*	`conf`	Approximate inference for first-order probabilistic languages. IJCAI Hanna Pasula, Stuart Russell
2001	A*	`conf`	Experimental comparisons of online and batch versions of bagging and boosting. KDD Nikunj C. Oza, Stuart Russell
2001	A	`conf`	Online Bagging and Boosting. AISTATS Nikunj C. Oza, Stuart Russell
2001	—	`ch.`	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. Sequential Monte Carlo Methods in Practice Kevin Murphy, Stuart Russell
2001	A	`conf`	Variational MCMC. UAI Nando de Freitas, Pedro A. d. F. R. Højen-Sørensen, Stuart Russell
2000	A*	`conf`	Algorithms for Inverse Reinforcement Learning. ICML Andrew Y. Ng, Stuart Russell
2000	A	`conf`	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart Russell
1999	A*	`conf`	Convergence of Reinforcement Learning with General Function Approximators. IJCAI Vassilis A. Papavassiliou, Stuart Russell
1999	B	`conf`	Expressive Probability Models in Science. Discovery Science Stuart Russell
1999	A*	`conf`	Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping. ICML Andrew Y. Ng, Daishi Harada, Stuart Russell
1999	A*	`conf`	Tracking Many Objects with Many Sensors. IJCAI Hanna Pasula, Stuart Russell, Michael Ostland, Yaacov Ritov
1998	—	`conf`	Bayesian Q-Learning. AAAI/IAAI Richard Dearden, Nir Friedman, Stuart Russell
1998	A*	`conf`	Learning Agents for Uncertain Environments (Extended Abstract). COLT Stuart Russell
1998	J	`jnl`	Learning from Examples and Membership Queries with Structured Determinations. Mach. Learn. Prasad Tadepalli, Stuart Russell
1998	A	`conf`	Learning the Structure of Dynamic Probabilistic Networks. UAI Nir Friedman, Kevin P. Murphy, Stuart Russell
1998	J	`jnl`	Object Identification: A Bayesian Analysis with Application to Traffic Surveillance. Artif. Intell. Timothy Huang, Stuart Russell
1998	—	`conf`	Probabilistic modeling with Bayesian networks for automatic speech recognition. ICSLP Geoffrey Zweig, Stuart Russell
1998	—	`conf`	Speech Recognition with Dynamic Bayesian Networks. AAAI/IAAI Geoffrey Zweig, Stuart Russell
1997	J	`jnl`	Adaptive Probabilistic Networks with Hidden Variables. Mach. Learn. John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa
1997	—	`conf`	Challenge: What is the Impact of Bayesian Networks on Learning? IJCAI (1) Nir Friedman, Moisés Goldszmidt, David Heckerman, Stuart Russell
1997	A	`conf`	Image Segmentation in Video Sequences: A Probabilistic Approach. UAI Nir Friedman, Stuart Russell
1997	—	`conf`	Learning in Rational Agents. NIPS Stuart Russell
1997	—	`conf`	Object Identification in a Bayesian Context. IJCAI Timothy Huang, Stuart Russell
1997	J	`jnl`	PNPACK: Computing with Probabilities in Java. Concurr. Pract. Exp. Stuart Russell, Lewis Stiller, Othar Hansson
1997	—	`conf`	Reinforcement Learning with Hierarchies of Machines. NIPS Ronald Parr, Stuart Russell
1997	—	`conf`	Space-Efficient Inference in Dynamic Probabilistic Networks. IJCAI John Binder, Kevin P. Murphy, Stuart Russell
1997	—	`conf`	Uncertain Learning Agents (Abstract). ECML Stuart Russell
1996	—	`ch.`	Machine Learning. Artificial Intelligence Stuart Russell
1996	J	`jnl`	Optimal Composition of Real-Time Systems. Artif. Intell. Shlomo Zilberstein, Stuart Russell
1996	Misc	`conf`	Tools for Autonomous Agents (Abstract). KI Stuart Russell
1995	J	`jnl`	A Modern, Agent-Oriented Approach to Introductory Artificial Intelligence. SIGART Bull. Stuart Russell, Peter Norvig
1995	A*	`conf`	Approximating Optimal Policies for Partially Observable Stochastic Domains. IJCAI Ronald Parr, Stuart Russell
1995	A*	`conf`	Local Learning in Probabilistic Networks with Hidden Variables. IJCAI Stuart Russell, John Binder, Daphne Koller, Keiji Kanazawa
1995	A*	`ed.`	Machine Learning, Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, USA, July 9-12, 1995 ICML Armand Prieditis, Stuart Russell
1995	A*	`conf`	Rationality and Intelligence. IJCAI (1) Stuart Russell
1995	A	`conf`	Stochastic simulation algorithms for dynamic probabilistic networks. UAI Keiji Kanazawa, Daphne Koller, Stuart Russell
1995	A*	`conf`	The BATmobile: Towards a Bayesian Automated Taxi. IJCAI Jeff Forbes, Timothy Huang, Keiji Kanazawa, Stuart Russell
1994	A*	`conf`	Automatic Symbolic Traffic Scene Analysis Using Belief Networks. AAAI Timothy Huang, Daphne Koller, Jitendra Malik, Gary H. Ogasawara, Bobby S. Rao, Stuart Russell, Joseph Weber
1994	A*	`conf`	Control Strategies for a Stochastic Planner. AAAI Jonathan Tash, Stuart Russell
1994	—	`conf`	Towards robust automatic traffic scene analysis in real-time. ICPR (1) Daphne Koller, Joseph Weber, Timothy Huang, Jitendra Malik, Gary H. Ogasawara, Stuart Russell, Bobby S. Rao
1993	A*	`conf`	Anytime Sensing Planning and Action: A Practical Model for Robot Control. IJCAI Shlomo Zilberstein, Stuart Russell
1993	A*	`conf`	Decision Theoretic Subsampling for Induction on Large Databases. ICML Ron Musick, Jason Catlett, Stuart Russell
1993	—	`conf`	Learnability of Constrained Logic Programs. ECML Saso Dzeroski, Stephen H. Muggleton, Stuart Russell
1993	A*	`conf`	Planning Using Multiple Execution Architectures. IJCAI Gary H. Ogasawara, Stuart Russell
1992	A	`conf`	Efficient Memory-Bounded Search Methods. ECAI Stuart Russell
1992	A*	`conf`	How Long Will It Take? AAAI Ron Musick, Stuart Russell
1992	A*	`conf`	PAC-Learnability of Determinate Logic Programs. COLT Saso Dzeroski, Stephen H. Muggleton, Stuart Russell
1991	J	`jnl`	Principles of Metareasoning. Artif. Intell. Stuart Russell, Eric Wefald
1989	A	`conf`	Automated Construction of Sparse Bayesian Networks from Unstructured Probabilistic Models and Domain Information. UAI Sampath Srinivas, Stuart Russell, Alice M. Agogino
1989	A*	`conf`	On Optimal Game-Tree Search using Rational Meta-Reasoning. IJCAI Stuart Russell, Eric Wefald
1986	A*	`conf`	Preliminary Steps Toward the Automation of Induction. AAAI Stuart Russell