policy learning

Knowledge-centered conversational agents with a drive to learn NAACL 2024 Large Language Models as Generalizable Policies for Embodied Tasks ICLR 2024 Learning Decision Policies with Instrumental Variables through Double Machine Learning ICML 2024 Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains IJCAI 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards NeurIPS 2024 Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024 LM2: A Simple Society of Language Models Solves Complex Reasoning EMNLP 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 MILES: Making Imitation Learning Easy with Self-Supervision CoRL 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 MPC-inspired reinforcement learning for verifiable model-free control L4DC 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Near-Optimal Learning and Planning in Separated Latent MDPs COLT 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NeurIPS 2024 Offline Behavior Distillation NeurIPS 2024 Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NeurIPS 2024 OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning CoRL 2024 OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024 One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion CoRL 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 OpenChat: Advancing Open-source Language Models with Mixed-Quality Data ICLR 2024 Opponent Modeling with In-context Search NeurIPS 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024