policy gradient

AIPO: Adaptive Information Guided Token-Level Reinforcement Learning for Large Language Model Reasoning ACL 2026 Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression ACL 2026 CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026 Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage CVPR 2026 Energy Matching based Preference Learning for Diffusion Language Models EACL 2026 From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection CVPR 2026 Global Convergence of Average Reward Constrained MDPs with Neural Critic and General Policy Parameterization UAI 2026 Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions CVPR 2026 Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions AAAI 2026 Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 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 MS-PPO: Mean Standard Deviation Proximal Policy Optimization for Reliable Parking Space Search in Structured Environments AAAI 2026 Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models CVPR 2026 NS-Diff: Fluid Navier-Stokes Guided Video Diffusion via Reinforcement Learning CVPR 2026 Online Learning for Project Selection in Hedonic Project Games UAI 2026 Persona, Ego, Shadow, and Self: A Map of the Soul Framework for Proto-Emotional Homeostasis in AI AAAI 2026 Pseudo-Likelihood Training for Reasoning Diffusion Language Models EACL 2026 RebRL: Reinforcing Discrete Visual Diffusion Models with Rebalanced Timestep Credits CVPR 2026 Risk-Sensitive Exponential Actor Critic AAAI 2026 Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026 Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026 Stepwise Credit Assignment for GRPO on Flow-Matching Models CVPR 2026 Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards L4DC 2025 Actor-Critic learning for mean-field control in continuous time JMLR 2025