Reinforcement Learning

Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024 Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training AAAI 2024 Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons EMNLP 2024 Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NeurIPS 2024 Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data AAAI 2024 Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media EMNLP 2024 Variational Delayed Policy Optimization NeurIPS 2024 VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment EMNLP 2024 When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NeurIPS 2024 When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NeurIPS 2024 When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming AAAI 2024 When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NeurIPS 2024 WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment NeurIPS 2024 Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NeurIPS 2024 Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads NeurIPS 2024 Zero-Shot Reinforcement Learning from Low Quality Data NeurIPS 2024 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration NeurIPS 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 A Coupled Flow Approach to Imitation Learning ICML 2023 Active Coverage for PAC Reinforcement Learning COLT 2023 Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023