Policy Learning

Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping AAAI 2026 APPO: Attention-guided Perception Policy Optimization for Video Reasoning CVPR 2026 Ar2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation CVPR 2026 A Unified Framework for Locality in Scalable MARL L4DC 2026 Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood JMLR 2026 Bayesian Symbolic Regression with Entropic Reinforcement Learning UAI 2026 Calibration-Aware Policy Optimization for Reasoning LLMs ACL 2026 Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking AAAI 2026 Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions AAAI 2026 Continuous time policy evaluation is easier with noisy dynamics COLT 2026 d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models ACL 2026 End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint) AAAI 2026 Experience-driven Multi-turn Reinforcement Learning for GUI Agents ACL 2026 Expressive Temporal Specifications for Reward Monitoring AAAI 2026 FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing AAAI 2026 FM-Steer: Enhance Generalist Policies with Value-Guided Cascaded Denoising CVPR 2026 General Process Reward Modeling for Robotic Reinforcement Learning CVPR 2026 GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning CVPR 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 Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech ACL 2026 Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions AAAI 2026 Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning ACL 2026 Learning to Optimize Job Shop Scheduling Under Structural Uncertainty AAAI 2026 LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026