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Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic pr
所属机构名称:中国人民解放军国防科学技术大学
成果类型:会议
相关项目:基于核的增强学习与近似动态规划方法研究
同会议论文项目
基于核的增强学习与近似动态规划方法研究
期刊论文 16
会议论文 12
著作 1
同项目会议论文
Self-learning path-tracking control of autonomous vehicles using kernel-based approximate dynamic pr
Adaptive kernel-width selection for kernel-based least-squares policy iteration algorithm,
Path planning for redundant manipulator without explicit inverse kinematics solution.
Adaptive kernel-width selection for kernel-based least-squares policy iteration algorithm,
Path planning for redundant manipulator without explicit inverse kinematics solution.
Reinforcement learning control of a real mobile robot using approximate policy iteration.
A kernel-based reinforcement Learning approach to stochastic pole balancing control systems.
Reordering sparsification of kernel machines in approximate policy iteration.
An adaptive roadmap guided multi-RRTs strategy for single query path planning.
Adaptive dual heuristic programming based on delta-bar-delta learning rule.
无人车辆自学习控制的MDP模型与增强学习方法研究