reinforcement learning

Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024 Linguistic Calibration of Long-Form Generations ICML 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback ACL 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024 MACAROON: Training Vision-Language Models To Be Your Engaged Partners EMNLP 2024 MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024 MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization IJCAI 2024 Mars: Situated Inductive Reasoning in an Open-World Environment NeurIPS 2024 Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations ACL 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 MetaCURL: Non-stationary Concave Utility Reinforcement Learning NeurIPS 2024 MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking ACL 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024 Mixtures of Experts Unlock Parameter Scaling for Deep RL ICML 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024