引用本概念的论文(11)
- 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
- 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
- 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