markov decision process

Exact Reduction of Huge Action Spaces in General Reinforcement Learning AAAI 2021 Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions ALT 2021 Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs NeurIPS 2021 Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes NeurIPS 2021 Fast Rates for the Regret of Offline Reinforcement Learning COLT 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021 High Confidence Generalization for Reinforcement Learning ICML 2021 How RL Agents Behave When Their Actions Are Modified AAAI 2021 Identifiability in inverse reinforcement learning NeurIPS 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021 Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021 Interaction Considerations in Learning from Humans IJCAI 2021 Inverse Constrained Reinforcement Learning ICML 2021 Inverse Reinforcement Learning From Like-Minded Teachers AAAI 2021 Is Pessimism Provably Efficient for Offline RL? ICML 2021 Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods AAAI 2021 K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management AAAI 2021 Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NeurIPS 2021 Learning One Representation to Optimize All Rewards NeurIPS 2021 Learning Robust State Abstractions for Hidden-Parameter Block MDPs ICLR 2021 Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild CVPR 2021