markov decision process

Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Recursive Introspection: Teaching Language Model Agents How to Self-Improve NeurIPS 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity NeurIPS 2024 Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024 REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes ICLR 2024 Robust Active Measuring under Model Uncertainty AAAI 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024 Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space ICML 2024 ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making NeurIPS 2024 Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024 Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024 Scale-free Adversarial Reinforcement Learning COLT 2024 Settling the sample complexity of online reinforcement learning COLT 2024 Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024 SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents NeurIPS 2024 Slowly Changing Adversarial Bandit Algorithms are Efficient for Discounted MDPs ALT 2024 Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ICLR 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles AAAI 2024