Jeremy McMahan

According to our database, Jeremy McMahan authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Roping in Uncertainty: Robustness and Regularization in Markov Games.

Jeremy McMahan, Giovanni Artiglio, Qiaomin Xie

CoRR, 2024

Deterministic Policies for Constrained Reinforcement Learning in Polynomial-Time.

Jeremy McMahan

CoRR, 2024

Anytime-Constrained Reinforcement Learning.

Jeremy McMahan, Xiaojin Zhu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Data Poisoning to Fake a Nash Equilibria for Markov Games.

Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Optimal Attack and Defense for Reinforcement Learning.

Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value.

Young Wu, Jeremy McMahan, Yiding Chen, Yudong Chen, Xiaojin Zhu, Qiaomin Xie

CoRR, 2023

VISER: A Tractable Solution Concept for Games with Information Asymmetry.

Jeremy McMahan, Young Wu, Yudong Chen, Xiaojin Zhu, Qiaomin Xie

CoRR, 2023

On Faking a Nash Equilibrium.

Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie

CoRR, 2023

Approximating Pandora's Box with Correlations.

Shuchi Chawla, Evangelia Gergatsouli, Jeremy McMahan, Christos Tzamos

Proceedings of the Approximation, 2023

Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning.

Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

A D-competitive algorithm for the Multilevel Aggregation Problem with Deadlines.

Jeremy McMahan

CoRR, 2021