offline reinforcement learning

Offline RL Without Off-Policy Evaluation NeurIPS 2021 Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble CoRL 2021 Online and Offline Reinforcement Learning by Planning with a Learned Model NeurIPS 2021 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NeurIPS 2021 PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators NeurIPS 2021 Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NeurIPS 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning NeurIPS 2021 Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NeurIPS 2021 Provable Representation Learning for Imitation with Contrastive Fourier Features NeurIPS 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Representation Matters: Offline Pretraining for Sequential Decision Making ICML 2021 Risk-Averse Offline Reinforcement Learning ICLR 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CoRL 2021 Safe Driving via Expert Guided Policy Optimization CoRL 2021 Text Generation by Learning from Demonstrations ICLR 2021 The Difficulty of Passive Learning in Deep Reinforcement Learning NeurIPS 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 Towards Instance-Optimal Offline Reinforcement Learning with Pessimism NeurIPS 2021 Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble NeurIPS 2021 Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021 Understanding the World Through Action CoRL 2021 Weighted model estimation for offline model-based reinforcement learning NeurIPS 2021