Michael Dennis

40 papers A* 9A 2Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments. CoRR Michael Beukman, Khimya Khetarpal, Zeyu Zheng, Will Dabney, Jakob N. Foerster, Michael Dennis, Clare Lyle
2025	J	`jnl`	Evaluating In Silico Creativity: An Expert Review of AI Chess Compositions. CoRR Vivek Veeriah, Federico Barbero, Marcus Chiam, Xidong Feng, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Johan Obando-Ceron, Jiaxin Shi, Shaobo Hou, Satinder Singh, Nenad Tomasev, Tom Zahavy
2025	J	`jnl`	Generating Creative Chess Puzzles. CoRR Xidong Feng, Vivek Veeriah, Marcus Chiam, Michael Dennis, Ryan Pachauri, Thomas Tumiel, Federico Barbero, Johan Obando-Ceron, Jiaxin Shi, Satinder Singh, Shaobo Hou, Nenad Tomasev, Tom Zahavy
2025	J	`jnl`	Mitigating Goal Misgeneralization via Minimax Regret. CoRR Karim Abdel Sadek, Matthew Farrugia-Roberts, Usman Anwar, Hannah Erlebach, Christian A. Schröder de Witt, David Krueger, Michael Dennis
2025	J	`jnl`	Multi-Agent Risks from Advanced AI. CoRR Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
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
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`	Genie: Generative Interactive Environments. CoRR Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024	J	`jnl`	Open-Endedness is Essential for Artificial Superhuman Intelligence. CoRR Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel
2024	J	`jnl`	Refining Minimax Regret for Unsupervised Environment Design. CoRR Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob N. Foerster
2024	J	`jnl`	The Benefits of Power Regularization in Cooperative Reinforcement Learning. CoRR Michelle Li, Michael Dennis
2023	A*	`conf`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel
2023	—	`conf`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	J	`jnl`	Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel
2023	A	`conf`	The Benefits of Power Regularization in Cooperative Reinforcement Learning. AAMAS Michelle Li, Michael Dennis
2023	J	`jnl`	Who Needs to Know? Minimal Knowledge for Optimal Coordination. CoRR Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael Dennis, Stuart Russell
2023	J	`jnl`	minimax: Efficient Baselines for Autocurricula in JAX. CoRR Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel
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`	Evolving Curricula with Regret-Based Environment Design. ICML Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Evolving Curricula with Regret-Based Environment Design. CoRR Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2022	A*	`conf`	Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2022	J	`jnl`	Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster
2022	J	`jnl`	Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu
2021	A*	`conf`	A New Formalism, Method and Open Issues for Zero-Shot Coordination. ICML Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster
2021	J	`jnl`	A New Formalism, Method and Open Issues for Zero-Shot Coordination. CoRR Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster
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	J	`jnl`	Improving Social Welfare While Preserving Autonomy via a Pareto Mediator. CoRR Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox
2021	A*	`conf`	Quantifying Differences in Reward Functions. ICLR Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
2021	A*	`conf`	Replay-Guided Adversarial Environment Design. NeurIPS Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	Replay-Guided Adversarial Environment Design. CoRR Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel
2021	J	`jnl`	The Stretch Factor of Hexagon-Delaunay Triangulations. J. Comput. Geom. Ljubomir Perkovic, Michael Dennis, Duru Türkoglu
2020	A*	`conf`	Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, 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`	Quantifying Differences in Reward Functions. CoRR Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
2020	A*	`conf`	The Stretch Factor of Hexagon-Delaunay Triangulations. SoCG Michael Dennis, Ljubomir Perkovic, Duru Türkoglu
2019	J	`jnl`	Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell
2017	J	`jnl`	The Stretch Factor of Hexagon-Delaunay Triangulations. CoRR Michael Dennis, Ljubomir Perkovic, Duru Türkoglu