Reinforcement Learning

Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments ICCV 2023 Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023 Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models EMNLP 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NeurIPS 2023 Loosely consistent emphatic temporal-difference learning UAI 2023 Low Emission Building Control with Zero-Shot Reinforcement Learning AAAI 2023 Lower Bounds for Learning in Revealing POMDPs ICML 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023 LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning ICLR 2023 MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning IJCAI 2023 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning ICLR 2023 MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations ICML 2023 MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023 Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off NeurIPS 2023 MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 2023 Marginalized Importance Sampling for Off-Environment Policy Evaluation CoRL 2023 Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023 Markov Game Video Augmentation for Action Segmentation ICCV 2023 MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library JMLR 2023 Masked Trajectory Models for Prediction, Representation, and Control ICML 2023 Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning ICLR 2023 Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023 Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NeurIPS 2023 Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination AAAI 2023 Maximum State Entropy Exploration using Predecessor and Successor Representations NeurIPS 2023