Application of Reinforcement Learning in Open Space Planner for Apollo Auto
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-87178-9_4
Reference13 articles.
1. Aleksey, S., Panov, A.I.: Hierarchical actor-critic with hindsight for mobile robot with continuous state space. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds.) Advances in Neural Computation, Machine Learning, and Cognitive Research III. NEUROINFORMATICS 2019. Studies in Computational Intelligence, vol. 856, pp. 62–70. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-30425-6_6
2. Staroverov, A., Vetlin, V., Makarenko, S., Naumov, A., Panov, A.I.: Learning embodied agents with policy gradients to navigate in realistic environments. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds.) Advances in Neural Computation, Machine Learning, and Cognitive Research IV. NEUROINFORMATICS 2020. Studies in Computational Intelligence, vol. 925, pp. 212–221. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-60577-3_24
3. Staroverov, A., Yudin, D.A., Belkin, I., Adeshkin, V., Solomentsev, Y.K., Panov, A.I.: Real-time object navigation with deep neural networks and hierarchical reinforcement learning. IEEE Access 8, 195608–195621 (2020)
4. Kiselev, G., Panov, A.: Q-learning of spatial actions for hierarchical planner of cognitive agents. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) Interactive Collaborative Robotics. ICR 2020. Lecture Notes in Computer Science, vol. 12336, pp. 160–169. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60337-3_16
5. Zhu, H., et al.: The ingredients of real-world robotic reinforcement learning. In: ICLR 2020, pp. 1–20 (2020)
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Policy Optimization to Learn Adaptive Motion Primitives in Path Planning With Dynamic Obstacles;IEEE Robotics and Automation Letters;2023-02
2. Adaptive Maneuver Planning for Autonomous Vehicles Using Behavior Tree on Apollo Platform;Lecture Notes in Computer Science;2021
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3