Reinforcement Learning

StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason ACL 2026 Stochastic Dominance Driven First-Order Policy Optimization for Multi-Objective Reinforcement Learning UAI 2026 Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play ACL 2026 STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning ACL 2026 STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue Systems ACL 2026 Style-GRPO: Semantic-Aware Preference Optimization for Image Style Transfer Guided by Reward Modeling CVPR 2026 Synthetic Curriculum Reinforces Compositional Text-to-Image Generation CVPR 2026 Tailored Primitive Initialization is the Secret Key to Reinforcement Learning ACL 2026 Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes CVPR 2026 TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization CVPR 2026 TD-M(PC)$^2$: Improving Temporal Difference MPC Through Policy Constraint L4DC 2026 Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards ACL 2026 Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning ACL 2026 TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning CVPR 2026 The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents ACL 2026 The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation CVPR 2026 The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination ACL 2026 The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG ACL 2026 The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games ACL 2026 Think before Go: Hierarchical Reasoning for Image-goal Navigation ACL 2026 Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning ACL 2026 Thinking with Programming Vision: Towards a Unified View for Thinking with Images CVPR 2026 Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning ACL 2026 TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations L4DC 2026 Timely Machine: Awareness of Time Makes Test-Time Scaling Agentic ACL 2026