Michael Dennis

According to our database, Michael Dennis authored at least 24 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BAMDP Shaping: a Unified Theoretical Framework for Intrinsic Motivation and Reward Shaping.

Aly Lidayan, Michael Dennis, Stuart Russell

CoRR, 2024

Open-Endedness is Essential for Artificial Superhuman Intelligence.

Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel

CoRR, 2024

Genie: Generative Interactive Environments.

Jake Bruce, Michael D. 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 C. Y. 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Refining Minimax Regret for Unsupervised Environment Design.

Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael D. Dennis, Jakob Nicolaus Foerster

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Open-Endedness is Essential for Artificial Superhuman Intelligence.

Edward Hughes, Michael D. Dennis, Jack Parker-Holder, Feryal M. P. Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktäschel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

minimax: Efficient Baselines for Autocurricula in JAX.

Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel

CoRR, 2023

Adversarial Policies Beat Superhuman Go AIs.

Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell

Proceedings of the International Conference on Machine Learning, 2023

Who Needs to Know? Minimal Knowledge for Optimal Coordination.

Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell

Proceedings of the International Conference on Machine Learning, 2023

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.

Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stabilizing Unsupervised Environment Design with a Learned Adversary.

Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel

Proceedings of the Conference on Lifelong Learning Agents, 2023

The Benefits of Power Regularization in Cooperative Reinforcement Learning.

Michelle Li, Michael Dennis

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Adversarial Policies Beat Professional-Level Go AIs.

Tony Tong Wang, Adam Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell

CoRR, 2022

Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory.

Andrew Critch, Michael Dennis, Stuart Russell

CoRR, 2022

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles.

Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu

CoRR, 2022

Grounding Aleatoric Uncertainty for Unsupervised Environment Design.

Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolving Curricula with Regret-Based Environment Design.

Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel

Proceedings of the International Conference on Machine Learning, 2022

2021

The Stretch Factor of Hexagon-Delaunay Triangulations.

Ljubomir Perkovic, Michael Dennis, Duru Türkoglu

J. Comput. Geom., 2021

Improving Social Welfare While Preserving Autonomy via a Pareto Mediator.

Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox

CoRR, 2021

Replay-Guided Adversarial Environment Design.

Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A New Formalism, Method and Open Issues for Zero-Shot Coordination.

Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster

Proceedings of the 38th International Conference on Machine Learning, 2021

Quantifying Differences in Reward Functions.

Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike

Proceedings of the 9th International Conference on Learning Representations, 2021

Accumulating Risk Capital Through Investing in Cooperation.

Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design.

Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Policies: Attacking Deep Reinforcement Learning.

Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell

Proceedings of the 8th International Conference on Learning Representations, 2020