markov decision process

Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NeurIPS 2024 Feasible Q-Learning for Average Reward Reinforcement Learning AISTATS 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024 Finding good policies in average-reward Markov Decision Processes without prior knowledge NeurIPS 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Flipping-based Policy for Chance-Constrained Markov Decision Processes NeurIPS 2024 Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation AISTATS 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 Goodhart's Law in Reinforcement Learning ICLR 2024 Graph Contrastive Learning with Reinforcement Augmentation IJCAI 2024 Group Fairness in Predict-Then-Optimize Settings for Restless Bandits UAI 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 Identifying Latent State-Transition Processes for Individualized Reinforcement Learning NeurIPS 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024 Information-Theoretic Opacity-Enforcement in Markov Decision Processes IJCAI 2024 Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024 Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior ICLR 2024 Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024 Learning robust policies for uncertain parametric Markov decision processes L4DC 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Measuring Goal-Directedness NeurIPS 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024