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• A Bayesian Approach to Robust Reinforcement Learning
  2019 · 21 citations
• Soft-Robust Actor-Critic Policy-Gradient
  2018 · 19 citations
• Distributional Robustness and Regularization in Reinforcement Learning
  2020 · 17 citations
• Twice regularized MDPs and the equivalence between robustness and regularization
  2021 · 6 citations
• Acting in Delayed Environments with Non-Stationary Markov Policies
  2021 · 4 citations
• Policy Gradient for Rectangular Robust Markov Decision Processes
  2023 · 3 citations
• Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization
  2023 · 1 citations
• Tree Search-Based Policy Optimization under Stochastic Execution Delay
  2024 · 1 citations
• Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
  2026
• Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism
  2025
• State Entropy Regularization for Robust Reinforcement Learning
  2025
• Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
  2025
• Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization
  2023
• Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
  2024