Offline RL

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NeurIPS 2023 Hybrid Policy Optimization from Imperfect Demonstrations NeurIPS 2023 Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NeurIPS 2023 In-sample Actor Critic for Offline Reinforcement Learning ICLR 2023 Inverse Preference Learning: Preference-based RL without a Reward Function NeurIPS 2023 Jump-Start Reinforcement Learning ICML 2023 Katakomba: Tools and Benchmarks for Data-Driven NetHack NeurIPS 2023 Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023 Large Decision Models IJCAI 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NeurIPS 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023 Learning to Influence Human Behavior with Offline Reinforcement Learning NeurIPS 2023 Leveraging Offline Data in Online Reinforcement Learning ICML 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NeurIPS 2023 MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations ICML 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Model-based Offline Reinforcement Learning with Count-based Conservatism ICML 2023 Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023 Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023 Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023 Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023