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Found 9 papers, 3 papers with code
Tree Search-Based Policy Optimization under Stochastic Execution Delay
We show that given observed delay values, it is sufficient to perform a policy search in the class of Markov policies in order to reach optimal performance, thus extending the deterministic fixed delay case.
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
In robust Markov decision processes (RMDPs), it is assumed that the reward and the transition dynamics lie in a given uncertainty set.
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
We then generalize regularized MDPs to twice regularized MDPs ($\text{R}^2$ MDPs), i. e., MDPs with $\textit{both}$ value and policy regularization.
Policy Gradient for Rectangular Robust Markov Decision Processes
We provide a closed-form expression for the worst occupation measure.
Twice regularized MDPs and the equivalence between robustness and regularization
We finally generalize regularized MDPs to twice regularized MDPs (R${}^2$ MDPs), i. e., MDPs with $\textit{both}$ value and policy regularization.
Acting in Delayed Environments with Non-Stationary Markov Policies
We introduce a framework for learning and planning in MDPs where the decision-maker commits actions that are executed with a delay of $m$ steps.
Distributional Robustness and Regularization in Reinforcement Learning
Distributionally Robust Optimization (DRO) has enabled to prove the equivalence between robustness and regularization in classification and regression, thus providing an analytical reason why regularization generalizes well in statistical learning.
A Bayesian Approach to Robust Reinforcement Learning
Robust Markov Decision Processes (RMDPs) intend to ensure robustness with respect to changing or adversarial system behavior.
Soft-Robust Actor-Critic Policy-Gradient
It learns an optimal policy with respect to a distribution over an uncertainty set and stays robust to model uncertainty but avoids the conservativeness of robust strategies.
