Stuart J. Russell

44 papers A* 20Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	A Generalized Acquisition Function for Preference-based Reward Learning. ICRA Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	J	`jnl`	A Generalized Acquisition Function for Preference-based Reward Learning. CoRR Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	A*	`conf`	Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. NeurIPS Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart J. Russell
2024	A*	`conf`	Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics. NeurIPS Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael I. Jordan, Jiantao Jiao, Yuandong Tian, Stuart J. Russell
2024	J	`jnl`	Trajectory Improvement and Reward Learning from Comparative Language Feedback. CoRR Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	A*	`conf`	When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback. NeurIPS Leon Lang, Davis Foote, Stuart J. Russell, Anca D. Dragan, Erik Jenner, Scott Emmons
2023	A*	`conf`	Bridging RL Theory and Practice with the Effective Horizon. NeurIPS Cassidy Laidlaw, Stuart J. Russell, Anca D. Dragan
2022	—	`ch.`	Biography of Judea Pearl. Probabilistic and Causal Inference Stuart J. Russell
2021	A*	`conf`	PAC Learning of Causal Trees with Latent Variables. AAAI Prasad Tadepalli, Stuart J. Russell
2021	A*	`conf`	Scalable Online Planning via Reinforcement Learning Fine-Tuning. NeurIPS Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart J. Russell, Noam Brown
2019	J	`jnl`	Cognitive Model Priors for Predicting Human Decisions. CoRR David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell
2019	A*	`conf`	Cognitive model priors for predicting human decisions. ICML David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Stuart J. Russell, Thomas L. Griffiths
2019	J	`jnl`	Predicting human decisions with behavioral theories and machine learning. CoRR Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev
2018	A*	`conf`	Learning Plannable Representations with Causal InfoGAN. NeurIPS Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel
2018	A*	`conf`	Meta-Learning MCMC Proposals. NeurIPS Tongzhou Wang, Yi Wu, Dave Moore, Stuart J. Russell
2018	A*	`conf`	Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making. NeurIPS Nishant Desai, Andrew Critch, Stuart J. Russell
2017	—	`conf`	Inverse Reward Design. NIPS Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan
2017	J	`jnl`	Neural Block Sampling. CoRR Tongzhou Wang, Yi Wu, David A. Moore, Stuart J. Russell
2017	J	`jnl`	Signal-based Bayesian Seismic Monitoring. CoRR David A. Moore, Stuart J. Russell
2015	—	`conf`	Gaussian Process Random Fields. NIPS David A. Moore, Stuart J. Russell
2015	J	`jnl`	Gaussian Process Random Fields. CoRR David A. Moore, Stuart J. Russell
2014	—	`conf`	Algorithm selection by rational metareasoning as a model of human strategy selection. NIPS Falk Lieder, Dillon Plunkett, Jessica B. Hamrick, Stuart J. Russell, Nicholas Hay, Thomas L. Griffiths
2010	—	`book`	Artificial Intelligence - A Modern Approach, Third International Edition. Stuart J. Russell, Peter Norvig
2002	—	`conf`	State Abstraction for Programmable Reinforcement Learning Agents. AAAI/IAAI David Andre, Stuart J. Russell
2000	—	`conf`	Programmable Reinforcement Learning Agents. NIPS David Andre, Stuart J. Russell
1997	J	`jnl`	Rationality and Intelligence. Artif. Intell. Stuart J. Russell
1995	—	`book`	Artificial intelligence - a modern approach: the intelligent agent book. Stuart J. Russell, Peter Norvig
1995	J	`jnl`	Provably Bounded-Optimal Agents CoRR Stuart J. Russell, Devika Subramanian
1995	J	`jnl`	Provably Bounded-Optimal Agents. J. Artif. Intell. Res. Stuart J. Russell, Devika Subramanian
1993	A*	`conf`	Provably Bounded Optimal Agents. IJCAI Stuart J. Russell, Devika Subramanian, Ronald Parr
1991	J	`jnl`	An Architecture for Bounded Rationality. SIGART Bull. Stuart J. Russell
1991	A*	`conf`	Composing Real-Time Systems. IJCAI Stuart J. Russell, Shlomo Zilberstein
1991	—	`book`	Do the right thing - studies in limited rationality. Stuart J. Russell, Eric Wefald
1991	J	`jnl`	Prior knowledge and autonomous learning. Robotics Auton. Syst. Stuart J. Russell
1989	—	`conf`	Adaptive Learning of Decision-Theoretic Search Control Knowledge. ML Eric Wefald, Stuart J. Russell
1989	—	`conf`	Declarative Bias for Structural Domains. ML Benjamin N. Grosof, Stuart J. Russell
1989	A*	`conf`	Execution Architectures and Compilation. IJCAI Stuart J. Russell
1989	A*	`conf`	Principles of Metareasoning. KR Stuart J. Russell, Eric Wefald
1988	—	`conf`	Boundaries of Operationality. ML Michael S. Braverman, Stuart J. Russell
1988	A*	`conf`	IMEX: Overcoming Intactability In Explanation Based Learning. AAAI Michael S. Braverman, Stuart J. Russell
1988	A*	`conf`	Tree-Structured Bias. AAAI Stuart J. Russell
1987	A*	`conf`	A Declarative Approach to Bias in Concept Learning. AAAI Stuart J. Russell, Benjamin N. Grosof
1987	A*	`conf`	A Logical Approach to Reasoning by Analogy. IJCAI Todd R. Davies, Stuart J. Russell
1986	A*	`conf`	Quantitative Analysis of Analogy. AAAI Stuart J. Russell