近端策略优化 · 概念图谱

引用本概念的论文(13)

面向自主订单拣选车动态电池管理的深度强化学习方法 Deep Reinforcement Learning for Dynamic Battery Management of Autonomous Order Pickers arXiv 2607.05683
CompactionRL：基于上下文压缩的强化学习用于长视野智能体 CompactionRL: Reinforcement Learning with Context Compaction for Long-Horizon Agents arXiv 2607.05378
SafeExplorer：一种带恢复干预的无偏强化学习策略梯度 SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions arXiv 2607.08925
CRRL：一种基于因果关系的强化学习框架，用于自主系统恢复 CRRL: A Causality-Based Reinforcement Learning Framework for Autonomous System Recovery arXiv 2607.03177
基于多智能体深度强化学习的奶牛场多目标电池管理 Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms arXiv 2607.06489
BV-Blend：基于不确定性加权历史基线的稳定无评论家可验证奖励强化学习 BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards arXiv 2606.28707
面向轨迹跟踪的预期性强化学习 Anticipatory Reinforcement Learning for Trajectory Tracking arXiv 2607.03132
COLMAR:面向多智能体主动三维重建的协作视图策略学习 COLMAR: Cooperative View Policy Learning for Multi-Agent Active 3D Reconstruction arXiv 2607.13524
信任域策略蒸馏 Trust Region Policy Distillation arXiv 2607.04751
大规模电动汽车车队的智能充电：独立多智能体强化学习方法 Smart charging of large fleets of Electric Vehicles: Independent Multi-Agent Reinforcement Learning approaches arXiv 2606.31347
面向自适应交通信号控制的可解释强化学习 Explainable Reinforcement Learning for Adaptive Traffic Signal Control arXiv 2607.03703
基于模型预测控制思想的安全强化学习 Safe Reinforcement Learning using Ideas from Model Predictive Control arXiv 2607.07252
多智能体强化学习控制 Rayleigh-Bénard 对流中的稀疏传感器布置 Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection arXiv 2606.30238

引用本概念的论文(13)

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