Policy Learning

Building Socially-Equitable Public Models ICML 2024 CACTO-SL: Using Sobolev learning to improve continuous actor-critic with trajectory optimization L4DC 2024 Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024 Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causal State Distillation for Explainable Reinforcement Learning CLeaR 2024 C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Chain-of-Thought Predictive Control ICML 2024 ClutterGen: A Cluttered Scene Generator for Robot Learning CoRL 2024 Code Models are Zero-shot Precondition Reasoners NAACL 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 2024 Combining Experimental and Historical Data for Policy Evaluation ICML 2024 Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels ACL 2024 Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning ICML 2024 Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment EMNLP 2024 Controlled Decoding from Language Models ICML 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 Cross-Domain Policy Adaptation by Capturing Representation Mismatch ICML 2024 Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024 Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024