markov decision process

Probabilistic Temporal Logic for Reasoning about Bounded Policies IJCAI 2023 Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization AAAI 2023 Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023 Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor NeurIPS 2023 Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023 Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023 Reinforcement Learning for Joint Optimization of Multiple Rewards JMLR 2023 Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023 Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay ICLR 2023 Residual Q-Learning: Offline and Online Policy Customization without Value NeurIPS 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023 Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation ICLR 2023 RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023 Robust Satisficing MDPs ICML 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL ICLR 2023 Sample Complexity of Kernel-Based Q-Learning AISTATS 2023 Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes COLT 2023 Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments ICML 2023 Solving multi-model MDPs by coordinate ascent and dynamic programming UAI 2023 State-wise Safe Reinforcement Learning: A Survey IJCAI 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023