markov decision process

Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 Sample Complexity of Robust Reinforcement Learning with a Generative Model AISTATS 2022 Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022 Shared Autonomy Systems with Stochastic Operator Models IJCAI 2022 Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning ICML 2022 Stateful Offline Contextual Policy Evaluation and Learning AISTATS 2022 Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments AAAI 2022 System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy AISTATS 2022 Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification CVPR 2022 TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions ALT 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022 The Geometry of Robust Value Functions ICML 2022 The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning NeurIPS 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 Towards Return Parity in Markov Decision Processes AISTATS 2022 Understanding Domain Randomization for Sim-to-real Transfer ICLR 2022 Utility Theory for Sequential Decision Making ICML 2022 Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022 VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract) AAAI 2022 Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy ICML 2022 Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021 Acting in Delayed Environments with Non-Stationary Markov Policies ICLR 2021 Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks AAAI 2021 Active Feature Acquisition with Generative Surrogate Models ICML 2021