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ORCIDMichael Dennis 0001
Person information
- affiliation: University of California at Berkeley, Berkeley, CA, USA
Other persons with the same name
- Michael Dennis 0002 — National Geodetic Survey Department, Silver Spring, MD, USA
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2020 – today
- 2024
[i19]Michael Beukman, Samuel Coward, Michael Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob N. Foerster:
Refining Minimax Regret for Unsupervised Environment Design. CoRR abs/2402.12284 (2024)- [i18]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 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:
Genie: Generative Interactive Environments. CoRR abs/2402.15391 (2024) - 2023
- [c14]Michelle Li, Michael Dennis:
The Benefits of Power Regularization in Cooperative Reinforcement Learning. AAMAS 2023: 457-465 - [c13]Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel:
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoLLAs 2023: 270-291 - [c12]Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel:
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR 2023 - [c11]Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell:
Who Needs to Know? Minimal Knowledge for Optimal Coordination. ICML 2023: 18599-18613 - [c10]Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell:
Adversarial Policies Beat Superhuman Go AIs. ICML 2023: 35655-35739 - [i17]Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel:
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR abs/2303.03376 (2023) - [i16]Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael Dennis, Stuart Russell:
Who Needs to Know? Minimal Knowledge for Optimal Coordination. CoRR abs/2306.09309 (2023) - [i15]Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel:
Stabilizing Unsupervised Environment Design with a Learned Adversary. CoRR abs/2308.10797 (2023) - [i14]Minqi Jiang, Michael Dennis, Edward Grefenstette, Tim Rocktäschel:
minimax: Efficient Baselines for Autocurricula in JAX. CoRR abs/2311.12716 (2023) - 2022
- [c9]Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Evolving Curricula with Regret-Based Environment Design. ICML 2022: 17473-17498 - [c8]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS 2022 - [i13]Jack Parker-Holder, Minqi Jiang, Michael Dennis, Mikayel Samvelyan, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Evolving Curricula with Regret-Based Environment Design. CoRR abs/2203.01302 (2022) - [i12]Thomas Krendl Gilbert, Aaron J. Snoswell, Michael Dennis, Rowan McAllister, Cathy Wu:
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles. CoRR abs/2205.07395 (2022) - [i11]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR abs/2207.05219 (2022) - [i10]Andrew Critch, Michael Dennis, Stuart Russell:
Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory. CoRR abs/2208.07006 (2022) - [i9]Tony Tong Wang, Adam Gleave
, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell:
Adversarial Policies Beat Professional-Level Go AIs. CoRR abs/2211.00241 (2022) - 2021
- [j1]Ljubomir Perkovic, Michael Dennis, Duru Türkoglu:
The Stretch Factor of Hexagon-Delaunay Triangulations. J. Comput. Geom. 12(2): 86-125 (2021) - [c7]Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell:
Accumulating Risk Capital Through Investing in Cooperation. AAMAS 2021: 1073-1081 - [c6]Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike:
Quantifying Differences in Reward Functions. ICLR 2021 - [c5]Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster:
A New Formalism, Method and Open Issues for Zero-Shot Coordination. ICML 2021: 10413-10423 - [c4]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Replay-Guided Adversarial Environment Design. NeurIPS 2021: 1884-1897 - [i8]Charlotte Roman, Michael Dennis, Andrew Critch, Stuart Russell:
Accumulating Risk Capital Through Investing in Cooperation. CoRR abs/2101.10305 (2021) - [i7]Stephen McAleer, John B. Lanier, Michael Dennis, Pierre Baldi, Roy Fox:
Improving Social Welfare While Preserving Autonomy via a Pareto Mediator. CoRR abs/2106.03927 (2021) - [i6]Johannes Treutlein, Michael Dennis, Caspar Oesterheld, Jakob N. Foerster:
A New Formalism, Method and Open Issues for Zero-Shot Coordination. CoRR abs/2106.06613 (2021) - [i5]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Jakob N. Foerster, Edward Grefenstette, Tim Rocktäschel:
Replay-Guided Adversarial Environment Design. CoRR abs/2110.02439 (2021) - 2020
- [c3]Michael Dennis, Ljubomir Perkovic, Duru Türkoglu:
The Stretch Factor of Hexagon-Delaunay Triangulations. SoCG 2020: 34:1-34:16 - [c2]Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell:
Adversarial Policies: Attacking Deep Reinforcement Learning. ICLR 2020 - [c1]Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS 2020 - [i4]Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike:
Quantifying Differences in Reward Functions. CoRR abs/2006.13900 (2020) - [i3]Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine:
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR abs/2012.02096 (2020)
2010 – 2019
- 2019
- [i2]Adam Gleave, Michael Dennis, Neel Kant, Cody Wild, Sergey Levine, Stuart Russell:
Adversarial Policies: Attacking Deep Reinforcement Learning. CoRR abs/1905.10615 (2019) - 2017
- [i1]Michael Dennis, Ljubomir Perkovic, Duru Türkoglu:
The Stretch Factor of Hexagon-Delaunay Triangulations. CoRR abs/1711.00068 (2017)
Coauthor Index
aka: Jakob Nicolaus Foerster
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