Reinforcement Learning

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective ACL 2026 Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards ACL 2026 REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation ACL 2026 Revisiting TD Target Aggregation under Uncertainty in Q-Learning UAI 2026 Reward Alignment Optimization: A Direct Point-wise Alignment Approach ACL 2026 RISK: A Framework for GUI Agents in E-commerce Risk Management ACL 2026 RLBoost: Harvesting Preemptible Cloud Resources for Cost-Efficient Reinforcement Learning on LLMs NSDI 2026 RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning CVPR 2026 RLinf: Flexible and Efficient Large-Scale Reinforcement Learning via Macro-to-Micro Flow Transformation OSDI 2026 RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization ACL 2026 RobustRL: Role-Based Fault Tolerance System for RL Post-Training OSDI 2026 Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors ACL 2026 RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching NSDI 2026 RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation ACL 2026 SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning ACL 2026 SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning ACL 2026 SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning CVPR 2026 SAIR-Comb : A Structure-Aware Iterative Refinement Framework for Combinatorics Autoformalization ACL 2026 Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning CVPR 2026 SARL-STG: A Spatially Aware Reinforcement Learning Framework for Refining MLLMs in Spatio-Temporal Video Grounding CVPR 2026 SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs ACL 2026 Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning ACL 2026 SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation ACL 2026 Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training ACL 2026 SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents ACL 2026