Reinforcement Learning

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint ICML 2024 Iterative Regularized Policy Optimization with Imperfect Demonstrations ICML 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NeurIPS 2024 Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation CoRL 2024 JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NeurIPS 2024 JIGGLE: An Active Sensing Framework for Boundary Parameters Estimation in Deformable Surgical Environments RSS 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning COLING 2024 Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX ICLR 2024 Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations ICML 2024 Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning NeurIPS 2024 KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR 2024 Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics RSS 2024 Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning ACL 2024 Know Thine Enemy: Adaptive Attacks on Misinformation Detection Using Reinforcement Learning ACL 2024 KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance CoRL 2024 KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation CoRL 2024 LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning ICML 2024 Langevin Policy for Safe Reinforcement Learning ICML 2024 Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game ICML 2024 Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models ICML 2024 Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication NeurIPS 2024