value iteration

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence NeurIPS 2023 Integrating Symmetry into Differentiable Planning with Steerable Convolutions ICLR 2023 Kernelized Reinforcement Learning with Order Optimal Regret Bounds NeurIPS 2023 Leveraging Offline Data in Online Reinforcement Learning ICML 2023 Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023 Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023 Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NeurIPS 2023 Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path ICML 2023 Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023 Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023 Optimistic Planning by Regularized Dynamic Programming ICML 2023 Provably (More) Sample-Efficient Offline RL with Options NeurIPS 2023 Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023 Replicable Reinforcement Learning NeurIPS 2023 Robust Average-Reward Markov Decision Processes AAAI 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023 Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning ICLR 2023 Boosted Curriculum Reinforcement Learning ICLR 2022 Compositional Generalization in Grounded Language Learning via Induced Model Sparsity NAACL 2022 Confident Least Square Value Iteration with Local Access to a Simulator AISTATS 2022 Corruption-robust Offline Reinforcement Learning AISTATS 2022 Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NeurIPS 2022 Efficient Reinforcement Learning with Prior Causal Knowledge CLeaR 2022 End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps CVPR 2022