Reinforcement Learning

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning ICML 2023 On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs ICML 2023 On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation UAI 2023 On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023 On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples AAAI 2023 On the Statistical Benefits of Temporal Difference Learning ICML 2023 On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling IJCAI 2023 On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills CoRL 2023 Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation AAAI 2023 Opponent-Limited Online Search for Imperfect Information Games ICML 2023 Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian ICLR 2023 Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes NeurIPS 2023 Optimal Decision Tree Policies for Markov Decision Processes IJCAI 2023 Optimal Exploration for Model-Based RL in Nonlinear Systems NeurIPS 2023 Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning ICML 2023 Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs ICML 2023 Optimal Transport for Offline Imitation Learning ICLR 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NeurIPS 2023 Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023 Optimism in Face of a Context:Regret Guarantees for Stochastic Contextual MDP AAAI 2023 Optimistic Active Exploration of Dynamical Systems NeurIPS 2023 Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates NeurIPS 2023 Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL NeurIPS 2023 Optimistic PAC Reinforcement Learning: the Instance-Dependent View ALT 2023 Optimistic Planning by Regularized Dynamic Programming ICML 2023