Deep RL

Powderworld: A Platform for Understanding Generalization via Rich Task Distributions ICLR 2023 PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient ICML 2023 Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning L4DC 2023 Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning CoRL 2023 Predictable MDP Abstraction for Unsupervised Model-Based RL ICML 2023 Prediction and Control in Continual Reinforcement Learning NeurIPS 2023 Prioritizing Samples in Reinforcement Learning with Reducible Loss NeurIPS 2023 Probabilistic Inference in Reinforcement Learning Done Right NeurIPS 2023 Probabilistic Robustness for Data Filtering EACL 2023 Provable Reset-free Reinforcement Learning by No-Regret Reduction ICML 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Provably Efficient Model-Free Algorithms for Non-stationary CMDPs AISTATS 2023 Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation L4DC 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023 Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023 Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL UAI 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NeurIPS 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 Q-functionals for Value-Based Continuous Control AAAI 2023 Q-Learning-Based Model Predictive Variable Impedance Control for Physical Human-Robot Collaboration (Extended Abstract) IJCAI 2023 Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023 Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023 q-Learning in Continuous Time JMLR 2023 Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots ICLR 2023