Methods

Experience-driven Multi-turn Reinforcement Learning for GUI Agents ACL 2026 Explaining Decentralized Multi-Agent Reinforcement Learning Policies AAAI 2026 Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control AAAI 2026 Expressive Temporal Specifications for Reward Monitoring AAAI 2026 Fairness Aware Reinforcement Learning via Proximal Policy Optimization AAAI 2026 FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning AAAI 2026 FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing AAAI 2026 First-Order Representation Languages for Goal-Conditioned RL AAAI 2026 FM-Steer: Enhance Generalist Policies with Value-Guided Cascaded Denoising CVPR 2026 From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training CVPR 2026 From log 𝜋 to 𝜋: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight ACL 2026 General Process Reward Modeling for Robotic Reinforcement Learning CVPR 2026 GeoWorld: Geometric World Models CVPR 2026 GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits AAAI 2026 Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization UAI 2026 Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning CVPR 2026 Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation AAAI 2026 GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning AAAI 2026 GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing AAAI 2026 G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation AAAI 2026 GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning CVPR 2026 Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents ACL 2026 Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization L4DC 2026 HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning AAAI 2026