RobustRLlib benchmarks 17 robust reinforcement learning algorithms
Evaluation across 273 perturbation settings maps where current robust RL methods still fail.
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Stories tagged #robust-rl
Robust Reinforcement Learning for Dynamic Treatment Regimes under Model and Measurement Uncertainty
Robust contextual RL learns adaptive prostate-cancer treatment policies that stay reliable under measurement and model error.
Epsilon-Nash Equilibria in History-Dependent SA-MDPs
Researchers give the first algorithm for computing epsilon-approximate history-dependent equilibria in state-adversarial Markov decision processes with observation-perturbing adversaries.