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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

Filtered Direct Preference Optimization EMNLP 2024
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck AAAI 2024
MACAROON: Training Vision-Language Models To Be Your Engaged Partners EMNLP 2024
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning CVPR 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation CVPR 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback CVPR 2024
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning AAAI 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization AAAI 2024
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles CVPR 2024
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models CVPR 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024
Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning NIPS 2024
When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning CVPR 2024
LM2: A Simple Society of Language Models Solves Complex Reasoning EMNLP 2024