Jeremy McMahan

26 papers A* 8A 2B 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Anytime-Constrained Equilibria in Polynomial Time. ICML Jeremy McMahan
2025	J	`jnl`	Optimally Installing Strict Equilibria. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2025	A*	`conf`	Polynomial-Time Approximability of Constrained Reinforcement Learning. ICML Jeremy McMahan
2025	J	`jnl`	Polynomial-Time Approximability of Constrained Reinforcement Learning. CoRR Jeremy McMahan
2024	J	`jnl`	Anytime-Constrained Multi-Agent Reinforcement Learning. CoRR Jeremy McMahan, Xiaojin Zhu
2024	A	`conf`	Anytime-Constrained Reinforcement Learning. AISTATS Jeremy McMahan, Xiaojin Zhu
2024	A*	`conf`	Data Poisoning to Fake a Nash Equilibria for Markov Games. AAAI Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2024	A*	`conf`	Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time. NeurIPS Jeremy McMahan
2024	J	`jnl`	Deterministic Policies for Constrained Reinforcement Learning in Polynomial-Time. CoRR Jeremy McMahan
2024	J	`jnl`	Inception: Efficiently Computable Misinformation Attacks on Markov Games. RLJ Jeremy McMahan, Young Wu, Yudong Chen, Jerry Zhu, Qiaomin Xie
2024	J	`jnl`	Inception: Efficiently Computable Misinformation Attacks on Markov Games. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2024	A*	`conf`	Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. ICML Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Jerry Zhu, Qiaomin Xie
2024	A*	`conf`	Optimal Attack and Defense for Reinforcement Learning. AAAI Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie
2024	A*	`conf`	Roping in Uncertainty: Robustness and Regularization in Markov Games. ICML Jeremy McMahan, Giovanni Artiglio, Qiaomin Xie
2024	J	`jnl`	Roping in Uncertainty: Robustness and Regularization in Markov Games. CoRR Jeremy McMahan, Giovanni Artiglio, Qiaomin Xie
2024	B	`conf`	Various Misleading Visual Features in Misleading Graphs: Do they truly deceive us? CogSci Jihyun Rho, Martina A. Rau, Shubham Kumar Bharti, Rosanne Luu, Jeremy McMahan, Andrew Wang, Jerry Zhu
2023	J	`jnl`	Anytime-Constrained Reinforcement Learning. CoRR Jeremy McMahan, Xiaojin Zhu
2023	A	`conf`	Approximating Pandora's Box with Correlations. APPROX/RANDOM Shuchi Chawla, Evangelia Gergatsouli, Jeremy McMahan, Christos Tzamos
2023	J	`jnl`	Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. CoRR Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	On Faking a Nash Equilibrium. CoRR Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	Optimal Attack and Defense for Reinforcement Learning. CoRR Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie
2023	A*	`conf`	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. AAAI Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2023	J	`jnl`	VISER: A Tractable Solution Concept for Games with Information Asymmetry. CoRR Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie
2022	J	`jnl`	Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. CoRR Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie
2021	J	`jnl`	A D-competitive algorithm for the Multilevel Aggregation Problem with Deadlines. CoRR Jeremy McMahan
2021	J	`jnl`	Approximating Pandora's Box with Correlations. CoRR Shuchi Chawla, Evangelia Gergatsouli, Jeremy McMahan, Christos Tzamos