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20222025
most citedOptimal Attack and Defense for Reinforcement Learning

9 citations · 11 across the 9 of their papers we have counts for

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cs.GT2025

Optimally Installing Strict Equilibria

Jeremy McMahan, Young Wu, Yudong Chen +2

In this work, we develop a reward design framework for installing a desired behavior as a strict equilibrium across standard solution concepts: dominant strategy equilibrium, Nash…

cs.DS2025

Polynomial-Time Approximability of Constrained Reinforcement Learning

Jeremy McMahan

We study the computational complexity of approximating general constrained Markov decision processes. Our primary contribution is the design of a polynomial time -additive b…