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reinforcement learning

4122 papers

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Also known as

RL REINFORCE

Co-occurring keywords

large language model (12755) policy learning (699) markov decision process (788) policy gradient (518) policy optimization (630) deep reinforcement learning (903) multi-agent system (1743) imitation learning (741) regret bound (1918) language model (4573)

Papers

Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields AAAI 2025
InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions CVPR 2025
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025
In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder AAAI 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025
Optimizing Gene-Based Testing for Antibiotic Resistance Prediction AAAI 2025
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution AAAI 2025
Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025
Boosting MLLM Reasoning with Text-Debiased Hint-GRPO ICCV 2025
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference EMNLP 2025
AI-Driven Personalized Fall Prevention for Older Adults AAAI 2025
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation EMNLP 2025
TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization CVPR 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning AAAI 2025
The Lessons of Developing Process Reward Models in Mathematical Reasoning ACL 2025
Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models ACL 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning EMNLP 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025