sample efficiency

Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation ICLR 2023 Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023 Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck NeurIPS 2023 Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing ICML 2023 PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm ICLR 2023 Physics-Informed Model-Based Reinforcement Learning L4DC 2023 PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction AAAI 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NeurIPS 2023 Policy Expansion for Bridging Offline-to-Online Reinforcement Learning ICLR 2023 Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023 Posterior Sampling for Deep Reinforcement Learning ICML 2023 Posterior Tracking Algorithm for Classification Bandits AISTATS 2023 PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient ICML 2023 Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023 Provably (More) Sample-Efficient Offline RL with Options NeurIPS 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue ACML 2023 Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots ICLR 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CoRL 2023 Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023 Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay ICLR 2023 Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency ICLR 2023 Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023 Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions AAAI 2023