Reinforcement Learning

Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024 ClutterGen: A Cluttered Scene Generator for Robot Learning CoRL 2024 Code as Reward: Empowering Reinforcement Learning with VLMs ICML 2024 Code Models are Zero-shot Precondition Reasoners NAACL 2024 Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes RSS 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 model-based controller and ML advice via convex reparameterization L4DC 2024 Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels ACL 2024 CompetEvo: Towards Morphological Evolution from Competition IJCAI 2024 Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR 2024 ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 Confidence Aware Inverse Constrained Reinforcement Learning ICML 2024 Confident Natural Policy Gradient for Local Planning in q_π-realizable Constrained MDPs NeurIPS 2024 Configurable Mirror Descent: Towards a Unification of Decision Making ICML 2024 Configuration Space Distance Fields for Manipulation Planning RSS 2024 Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions RSS 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning ICLR 2024 Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation RSS 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024