Policy iteration based approximate dynamic programming toward autonomous driving in constrained dynamic environment
Z Lin, J Ma, J Duan, SE Li, H Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the area of autonomous driving, it typically brings great difficulty in solving the motion
planning problem since the vehicle model is nonlinear and the driving scenarios are …
planning problem since the vehicle model is nonlinear and the driving scenarios are …
[PDF][PDF] 类脑学习型自动驾驶决控系统的关键技术
李升波， 占国建， 蒋宇轩， 兰志前， 张宇航， 邹文俊… - 汽车 …, 2023 - qichegongcheng.com
作为高级别自动驾驶的下一代技术方向, 类脑学习以深度神经网络为策略载体,
以强化学习为训练手段, 通过与环境的交互探索实现策略的自我进化, 最终获得从环境状态到 …
以强化学习为训练手段, 通过与环境的交互探索实现策略的自我进化, 最终获得从环境状态到 …
Neural network optimal control for discrete-time nonlinear systems with known internal dynamics
P Tymoshchuk - Neural Computing and Applications, 2024 - Springer
A neural network (NN) optimal control for discrete-time nonlinear dynamic systems with
known internal dynamics is designed. The control is described by an algebraic equation with …
known internal dynamics is designed. The control is described by an algebraic equation with …