Reinforcement Learning
3,118 papers
Papers per year
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24
14
22
28
34
28
24
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23
79
183
257
291
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495
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83
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Papers
Dialogue Systems for Emotional Support via Value Reinforcement
ACL 2025
Differentiable Information Enhanced Model-Based Reinforcement Learning
AAAI 2025
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward
NAACL 2025
Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback
ACL 2025
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
EMNLP 2025
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
AAAI 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
ICCV 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
IJCNLP 2025
Don’t Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls
ACL 2025
Doubly Optimal Policy Evaluation for Reinforcement Learning
ICLR 2025
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models
EMNLP 2025
DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness
ICCV 2025
DSPO: Direct Score Preference Optimization for Diffusion Model Alignment
ICLR 2025
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback
AAAI 2025
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
AAAI 2025
Dynamic and Generalizable Process Reward Modeling
ACL 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
EMNLP 2025
Dynamic Scaling of Unit Tests for Code Reward Modeling
ACL 2025
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
NAACL 2025
DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates
ACL 2025
Dyve: Thinking Fast and Slow for Dynamic Process Verification
EMNLP 2025
Efficient and Robust Reinforcement Learning from Human Feedback
AAAI 2025
Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning
ICLR 2025
Efficient Duple Perturbation Robustness in Low-rank MDPs
L4DC 2025
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
AISTATS 2025