A D-competitive algorithm for the Multilevel Aggregation Problem with Deadlines. - Jeremy McMahan (CoRR, 2021)

Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning. - Young Wu; Jeremy McMahan; Xiaojin Zhu 001; Qiaomin Xie (AAAI, 2023)

Approximating Pandora's Box with Correlations. - Shuchi Chawla 001; Evangelia Gergatsouli; Jeremy McMahan; Christos Tzamos (APPROX/RANDOM, 2023)

On Faking a Nash Equilibrium. - Young Wu; Jeremy McMahan; Xiaojin Zhu 001; Qiaomin Xie (CoRR, 2023)

VISER: A Tractable Solution Concept for Games with Information Asymmetry. - Jeremy McMahan; Young Wu; Yudong Chen 001; Xiaojin Zhu 001; Qiaomin Xie (CoRR, 2023)

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. - Young Wu; Jeremy McMahan; Yiding Chen; Yudong Chen 001; Xiaojin Zhu 001; Qiaomin Xie (CoRR, 2023)

Optimal Attack and Defense for Reinforcement Learning. - Jeremy McMahan; Young Wu; Xiaojin Zhu 001; Qiaomin Xie (AAAI, 2024)

Data Poisoning to Fake a Nash Equilibria for Markov Games. - Young Wu; Jeremy McMahan; Xiaojin Zhu 001; Qiaomin Xie (AAAI, 2024)

Anytime-Constrained Reinforcement Learning. - Jeremy McMahan; Xiaojin Zhu 001 (AISTATS, 2024)

Roping in Uncertainty: Robustness and Regularization in Markov Games. - Jeremy McMahan; Giovanni Artiglio; Qiaomin Xie (ICML, 2024)

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value. - Young Wu; Jeremy McMahan; Yiding Chen; Yudong Chen 001; Jerry Zhu; Qiaomin Xie (ICML, 2024)

Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time. - Jeremy McMahan (NeurIPS, 2024)

Inception: Efficiently Computable Misinformation Attacks on Markov Games. - Jeremy McMahan; Young Wu; Yudong Chen 001; Jerry Zhu; Qiaomin Xie (RLJ, 2024)

Inception: Efficiently Computable Misinformation Attacks on Markov Games. - Jeremy McMahan; Young Wu; Yudong Chen 001; Xiaojin Zhu 001; Qiaomin Xie (CoRR, 2024)

Anytime-Constrained Multi-Agent Reinforcement Learning. - Jeremy McMahan; Xiaojin Zhu 001 (CoRR, 2024)

Polynomial-Time Approximability of Constrained Reinforcement Learning. - Jeremy McMahan (CoRR, 2025)

Optimally Installing Strict Equilibria. - Jeremy McMahan; Young Wu; Yudong Chen 001; Xiaojin Zhu 001; Qiaomin Xie (CoRR, 2025)