policy optimization

Policy Optimization for Adversarial Linear Mixture MDPs with Unknown Transitions and Bandit Feedback UAI 2026 Policy Optimization for Unknown Systems using Differentiable MPC L4DC 2026 Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement ACL 2026 Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training ACL 2026 PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization AAAI 2026 R-4B: Incentivizing General-Purpose Auto-Thinking in MLLMs via Bi-Mode Annealing and Reinforce Learning CVPR 2026 Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers ACL 2026 Reinforcement Learning Enhanced Muti-hop Reasoning for Temporal Knowledge Question Answering AAAI 2026 Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards ACL 2026 Reward Model Evaluation via Automatically-Ranked Policy Alignment AAAI 2026 RMLer: Synthesizing Novel Objects Across Diverse Categories via Reinforcement Mixing Learning AAAI 2026 SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph EACL 2026 Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation AAAI 2026 Self-SoftCoT: A Self-Consistent Framework via Position-Aware Latent Space Reinforcement Learning ACL 2026 Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners AAAI 2026 SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More CVPR 2026 SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models CVPR 2026 STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training ACL 2026 Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding AAAI 2026 State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2026 Stochastic Dominance Driven First-Order Policy Optimization for Multi-Objective Reinforcement Learning UAI 2026 TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning WACV 2026 Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards ACL 2026 TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization ACL 2026 Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability COLT 2026