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Reinforcement Learning

83 directly classified papers

Subtopics

Applications (40) Methods (9)

Papers per year

Papers

OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning AAAI 2026
Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning AAAI 2026
MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement AAAI 2026
Bootstrapped Reward Shaping AAAI 2025
On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation ACL 2025
RMultiplex200K: Toward Reliable Multimodal Process Supervision for Visual Language Models on Telecommunications ICCV 2025
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization EMNLP 2025
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction AACL 2025
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference NIPS 2024
Learning World Models for Unconstrained Goal Navigation NIPS 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NIPS 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024
Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback NIPS 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NIPS 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NIPS 2024
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NIPS 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024
Recent Advancements in Inverse Reinforcement Learning AAAI 2024
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem ACML 2023
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023
SelfTune: Tuning Cluster Managers NSDI 2023
Robust Satisficing MDPs ICML 2023
Tuning Computer Vision Models With Task Rewards ICML 2023
Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023