policy learning

Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics ICLR 2023 Multi-Level Compositional Reasoning for Interactive Instruction Following AAAI 2023 MUTEX: Learning Unified Policies from Multimodal Task Specifications CoRL 2023 Natural Language Instruction-following with Task-related Language Development and Translation NeurIPS 2023 Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023 On Imitation in Mean-field Games NeurIPS 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills CoRL 2023 Optimizing Crop Management with Reinforcement Learning and Imitation Learning IJCAI 2023 Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition NeurIPS 2023 PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations CVPR 2023 Physically Plausible Animation of Human Upper Body From a Single Image WACV 2023 PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks NeurIPS 2023 Policy Adaptation From Foundation Model Feedback CVPR 2023 Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments EACL 2023 PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning ICCV 2023 Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023 Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior NeurIPS 2023 Provable Safe Reinforcement Learning with Binary Feedback AISTATS 2023 Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NeurIPS 2023 Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NeurIPS 2023 Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023 ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023