Deep RL

Offline Quantum Reinforcement Learning in a Conservative Manner AAAI 2023 Off-Policy Actor-Critic with Emphatic Weightings JMLR 2023 Off-Policy Average Reward Actor-Critic with Deterministic Policy Search ICML 2023 Off-Policy Proximal Policy Optimization AAAI 2023 One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023 Online Nonstochastic Model-Free Reinforcement Learning NeurIPS 2023 On Many-Actions Policy Gradient ICML 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration NeurIPS 2023 On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation AISTATS 2023 On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning ICLR 2023 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning ICLR 2023 On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization ICML 2023 On the Importance of Exploration for Generalization in Reinforcement Learning NeurIPS 2023 On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning ICML 2023 On the Statistical Benefits of Temporal Difference Learning ICML 2023 Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation AAAI 2023 Optimal Exploration for Model-Based RL in Nonlinear Systems NeurIPS 2023 Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning ICML 2023 Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023 Optimistic Active Exploration of Dynamical Systems NeurIPS 2023 Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates NeurIPS 2023 Optimistic PAC Reinforcement Learning: the Instance-Dependent View ALT 2023 Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023 Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023