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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge EMNLP 2025
Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning ACL 2025
Towards Better Robot Learners: Leveraging Implicit and Explicit Human Feedback Together in Human Robot Interactions AAAI 2025
Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025
Beyond Task-Oriented and Chitchat Dialogues: Proactive and Transition-Aware Conversational Agents EMNLP 2025
START: Self-taught Reasoner with Tools EMNLP 2025
R-PRM: Reasoning-Driven Process Reward Modeling EMNLP 2025
Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025
Representation-driven Option Discovery in Reinforcement Learning AAAI 2025
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems AAAI 2025
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025
Learning Structured World Models From and For Physical Interactions AAAI 2025
Axioms for AI Alignment from Human Feedback AAAI 2025
Robots Learning Through Physical Interactive Intelligence AAAI 2025
The Hallucination Tax of Reinforcement Finetuning EMNLP 2025
The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender AAAI 2025
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference EMNLP 2025
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach AAAI 2025
PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning EMNLP 2025
Spontaneous Giving and Calculated Greed in Language Models EMNLP 2025
Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025
Identification of Multiple Logical Interpretations in Counter-Arguments EMNLP 2025
Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025