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Reinforcement Learning

1,698 papers

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Papers

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding ACL 2026 MM-ReCoder: Advancing Chart-to-Code Generation with Reinforcement Learning and Self-Correction CVPR 2026 MMSearch-R1: Incentivizing LMMs to Search ACL 2026 MOA: Multi-Objective Alignment for Role-Playing Agents ACL 2026 Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training ACL 2026 Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards ACL 2026 Model-Based Imaginative Planning for Embodied Agents ACL 2026 MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training ACL 2026 Neural Value Iteration UAI 2026 Neuro-Symbolic Agentic Reinforcement Learning for Long-Term Original Character Companionship and Interaction ACL 2026 No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning ACL 2026 NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning CVPR 2026 Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning ACL 2026 OctoNav: Towards Generalist Embodied Navigation CVPR 2026 One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement ACL 2026 OneThinker: All-in-one Reasoning Model for Image and Video CVPR 2026 Online Markov Decision Processes with Terminal Law Constraints ALT 2026 On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning ACL 2026 Optimal control of the future via prospective learning with control L4DC 2026 Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs COLT 2026 Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning ACL 2026 OseiBrefo-Liang at SemEval-2026 Task 12: Hybrid Causal Knowledge Graphs and Neural-Symbolic Policy Optimisation for Abductive Event Reasoning SemEval 2026 Outcome-Grounded Advantage Reshaping for Fine-Grained Credit Assignment in Mathematical Reasoning ACL 2026 PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning ACL 2026 P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist ACL 2026