← 返回概念图谱 引用本概念的论文(10)
- 基于失败的深度强化学习智能体测试 Failure-Based Testing for Deep Reinforcement Learning Agents arXiv 2606.31372
- 基于深度强化学习的大气再入航天器姿态控制 Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry arXiv 2606.31291
- 深度强化学习评估与设计范式的原则性分析 Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms arXiv 2607.07769
- 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
- 基于分层混合物理信息深度强化学习的异构多机器人系统高精度编队控制 High-Precision Formation Control for Heterogeneous Multi-Robot Systems via Hierarchical Hybrid Physics-Informed Deep Reinforcement Learning arXiv 2607.03512
- 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
- 基于强化学习的可达-规避任务学习:向量化仿真与基准测试 Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark arXiv 2607.15935
- 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
- 面向轨迹跟踪的预期性强化学习 Anticipatory Reinforcement Learning for Trajectory Tracking arXiv 2607.03132
- RoAd-RL:面向鲁棒对抗强化学习的统一库与基准 RoAd-RL: A Unified Library and Benchmark for Robust Adversarial Reinforcement Learning arXiv 2606.29867
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