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conftrace_

markov decision process

925 papers

MDP

Papers

Minimum Entropy Coupling with Bottleneck NeurIPS 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ICLR 2024 Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs UAI 2024 Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data COLT 2024 On learning history-based policies for controlling Markov decision processes AISTATS 2024 Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 On the Role of General Function Approximation in Offline Reinforcement Learning ICLR 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024 Optimal Sample Complexity for Average Reward Markov Decision Processes ICLR 2024 Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024 Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024 Personalized Reinforcement Learning with a Budget of Policies AAAI 2024 Policy Aggregation NeurIPS 2024 Policy Mirror Descent with Lookahead NeurIPS 2024 Policy Optimization for Robust Average Reward MDPs NeurIPS 2024 Power Mean Estimation in Stochastic Monte-Carlo Tree Search UAI 2024 Principal-Agent Reward Shaping in MDPs AAAI 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024