Methods

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 MANSA: Learning Fast and Slow in Multi-Agent Systems ICML 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 Memory Gym: Partially Observable Challenges to Memory-Based Agents ICLR 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023 Meta-learning Parameterized Skills ICML 2023 MIMEx: Intrinsic Rewards from Masked Input Modeling NeurIPS 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Minimax-Bayes Reinforcement Learning AISTATS 2023 Minimum Description Length Control ICLR 2023 Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams NeurIPS 2023 Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023