conftrace_

policy optimization

771 papers

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Also known as

POLO PO

Co-occurring keywords · papers mentioning both

reinforcement learning (237) markov decision process (81) offline reinforcement learning (69) large language model (56) model-based reinforcement learning (53) sample efficiency (44) deep reinforcement learning (43) safe reinforcement learning (40) continuous control (39) value function (37)

Papers

General Process Reward Modeling for Robotic Reinforcement Learning CVPR 2026 Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization AAAI 2026 Group Causal Policy Optimization for Post-Training Large Language Models AAAI 2026 HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization AAAI 2026 Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization L4DC 2026 Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token’s Nature ACL 2026 HiconAgent: History Context-aware Policy Optimization for GUI Agents CVPR 2026 Influence-based Online Experience Selection for Effective RLHF ACL 2026 IRPO: Implicit Policy Regularized Preference Optimization EACL 2026 JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization CVPR 2026 JoPPO: Hierarchical Photography Assessment via Contrastive Joint Conditional Probabilistic Reinforcement Learning CVPR 2026 Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning ACL 2026 Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory ACL 2026 LLM Collaboration with Multi-Agent Reinforcement Learning AAAI 2026 MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning AAAI 2026 MaskFocus: Focusing Policy Optimization on Critical Steps for Masked Image Generation CVPR 2026 MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning ACL 2026 Monet: Reasoning in Latent Visual Space Beyond Image and Language CVPR 2026 MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning AAAI 2026 No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning ACL 2026 OneFont: A Unified Agent for End-to-End Font Creation AAAI 2026 On the Hidden Objective Biases of Group-based Reinforcement Learning ACL 2026 PointThinker: Point-Incentivized Parallel Thinking for Multimodal Large Language Model CVPR 2026 POLICYGRID: Causal Discovery for Adaptive Policy Optimization in Embodied Agents (Student Abstract) AAAI 2026 Policy Newton Methods for Distortion Riskmetrics AAAI 2026