Methods

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 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 Language Model Adaption for Reinforcement Learning with Natural Language Action Space ACL 2024 Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents IJCAI 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning NeurIPS 2024 Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning NeurIPS 2024 Learning a Diffusion Model Policy from Rewards via Q-Score Matching ICML 2024 Learning and deploying robust locomotion policies with minimal dynamics randomization L4DC 2024 Learning Causal Dynamics Models in Object-Oriented Environments ICML 2024 Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game ACL 2024