Deep RL

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NeurIPS 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024 Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform ICLR 2024 CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NeurIPS 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024 Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 Cloud-LoRa: Enabling Cloud Radio Access LoRa Networks Using Reinforcement Learning Based Bandwidth-Adaptive Compression NSDI 2024 Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024 Code as Reward: Empowering Reinforcement Learning with VLMs ICML 2024 Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling AAAI 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 ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning AAAI 2024 Constrained Intrinsic Motivation for Reinforcement Learning IJCAI 2024 ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints IJCAI 2024 Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data MICCAI 2024 Contextual Bilevel Reinforcement Learning for Incentive Alignment NeurIPS 2024 Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning AAAI 2024 Continuous Control with Coarse-to-fine Reinforcement Learning CoRL 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph ACL 2024 Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models NAACL 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024 CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design L4DC 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024