Reinforcement Learning

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 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 CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024 Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Contextual Bandits with Budgeted Information Reveal AISTATS 2024 Contextual Pandora’s Box AAAI 2024 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 Controlling Character Motions Without Observable Driving Source WACV 2024 Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract) AAAI 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024 CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection WACV 2024 CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024 Curriculum reinforcement learning for quantum architecture search under hardware errors ICLR 2024 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NeurIPS 2024 Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning JMLR 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 Demonstration-Regularized RL ICLR 2024 Demystifying Linear MDPs and Novel Dynamics Aggregation Framework ICLR 2024 Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time NeurIPS 2024 Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024 Differentially Private No-regret Exploration in Adversarial Markov Decision Processes UAI 2024