markov decision process

Lipschitz Lifelong Reinforcement Learning AAAI 2021 Local Differential Privacy for Regret Minimization in Reinforcement Learning NeurIPS 2021 LTL-Constrained Steady-State Policy Synthesis IJCAI 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 MICo: Improved representations via sampling-based state similarity for Markov decision processes NeurIPS 2021 Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes AAAI 2021 Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity ICML 2021 Model updating after interventions paradoxically introduces bias AISTATS 2021 Navigating to the Best Policy in Markov Decision Processes NeurIPS 2021 Nearly Horizon-Free Offline Reinforcement Learning NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes COLT 2021 Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NeurIPS 2021 NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL NeurIPS 2021 Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling AAAI 2021 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021 On Blame Attribution for Accountable Multi-Agent Sequential Decision Making NeurIPS 2021 Online learning in MDPs with linear function approximation and bandit feedback. NeurIPS 2021 Online Markov Decision Processes with Aggregate Bandit Feedback COLT 2021 Online Robust Reinforcement Learning with Model Uncertainty NeurIPS 2021 On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function COLT 2021 On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Optimal Policies Tend To Seek Power NeurIPS 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NeurIPS 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021