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Reinforcement Learning

3,118 papers

22
17
291
464
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Papers

AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing AAAI 2026 Aligning Cross-View Visual Geometries in LVLMs Through Human-Like Reasoning Learning AAAI 2026 Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features JMLR 2026 Approximations and Learning for Continuous State and Action MDPs under Average Cost Criteria JMLR 2026 A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak–Ruppert Averaging COLT 2026 A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance JMLR 2026 CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization ACL 2026 Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning AAAI 2026 Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error ACL 2026 DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering AAAI 2026 Efficient Hyperparameter Optimization for LLM Reinforcement Learning ACL 2026 ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking AAAI 2026 FAST-EQA: Efficient Embodied Question Answering with Global and Local Region Relevancy WACV 2026 How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints L4DC 2026 InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization AAAI 2026 Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments UAI 2026 KASER: Knowledge-Aligned Student Error Simulator for Open-Ended Coding Tasks ACL 2026 Knowledge-Enhanced Image Captioning with Adaptive Graph-based Multimodal Alignment and LLM AAAI 2026 Knowledge is Not Enough: Injecting RL Skills for Continual Adaptation ACL 2026 KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare AAAI 2026 Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning CVPR 2026 Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 2026 LeLoRA: Learnable Low-Rank Adaptation of Large Language Models ACL 2026 LENS: Learning to Segment Anything with Unified Reinforced Reasoning AAAI 2026 LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction AAAI 2026