Reinforcement Learning

Measuring Goal-Directedness NeurIPS 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024 Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024 Motif: Intrinsic Motivation from Artificial Intelligence Feedback ICLR 2024 Multimodal Large Language Models Make Text-to-Image Generative Models Align Better NeurIPS 2024 Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision EMNLP 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Nearest Neighbor Speculative Decoding for LLM Generation and Attribution NeurIPS 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Near-Optimal Learning and Planning in Separated Latent MDPs COLT 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024