Christian A. Schröder de Witt

11 papers A* 5A 1Journal 5

Year	Rank	Type	Title / Venue / Authors
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`	REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. CoRR Divyansh Garg, Shaun VanWeelden, Diego Caples, Andis Draguns, Nikil Ravi, Pranav Putta, Naman Garg, Tomas Abraham, Michael Lara, Federico Lopez, James Liu, Atharva Gundawar, Prannay Hebbar, Youngchul Joo, Jindong Gu, Charles London, Christian A. Schröder de Witt, Sumeet Motwani
2022	A	`conf`	Amortized Rejection Sampling in Universal Probabilistic Programming. AISTATS Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood
2022	A*	`conf`	Communicating via Markov Decision Processes. ICML Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster
2022	A*	`conf`	Generalized Beliefs for Cooperative AI. ICML Darius Muglich, Luisa M. Zintgraf, Christian A. Schröder de Witt, Shimon Whiteson, Jakob N. Foerster
2022	A*	`conf`	Mirror Learning: A Unifying Framework of Policy Optimisation. ICML Jakub Grudzien Kuba, Christian A. Schröder de Witt, Jakob N. Foerster
2022	A*	`conf`	Model-Free Opponent Shaping. ICML Christopher Lu, Timon Willi, Christian A. Schröder de Witt, Jakob N. Foerster
2021	J	`jnl`	A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings. CoRR Eltayeb Ahmed, Luisa M. Zintgraf, Christian A. Schröder de Witt, Nicolas Usunier
2021	A*	`conf`	Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. ICML Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Boehmer, Shimon Whiteson, Fei Sha
2020	J	`jnl`	AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. CoRR Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha
2018	J	`jnl`	Multi-Agent Common Knowledge Reinforcement Learning. CoRR Jakob N. Foerster, Christian A. Schröder de Witt, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson