Reinforcement Learning

Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024 Making RL with Preference-based Feedback Efficient via Randomization ICLR 2024 Massively Scalable Inverse Reinforcement Learning in Google Maps ICLR 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024 Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer ICLR 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation NeurIPS 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning AAAI 2024 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ICLR 2024 NeoRL: Efficient Exploration for Nonepisodic RL NeurIPS 2024 No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NeurIPS 2024 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs UAI 2024 Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NeurIPS 2024 Offline RL with Observation Histories: Analyzing and Improving Sample Complexity ICLR 2024 Off-Policy Primal-Dual Safe Reinforcement Learning ICLR 2024 Omega-Regular Decision Processes AAAI 2024 On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning ICLR 2024 On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning ICLR 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 On the Role of General Function Approximation in Offline Reinforcement Learning ICLR 2024