Aug 22, 2013 · This paper presents a novel learning-based cruise controller for autonomous land vehicles (ALVs) with unknown dynamics and external ...
Abstract—This paper presents a novel learning-based cruise controller for autonomous land vehicles (ALVs) with unknown dynamics and external disturbances.
In [12], DRL is used in a CACC system to learn high-level control policies on whether to brake, accelerate, or keep the current velocity.
To this end, we first show how the kernel least-squares policy iteration algorithm can be modified to handle data online by recursive dictionary and learning ...
Jian Wang, Xin Xu, et al. Self-learning Cruise Control Using Kernel-Based Least Squares Policy Iteration. IEEE Transactions on Control System Technology, 2013, ...
Oct 22, 2024 · By using KLSPI, near-optimal control policies can be obtained without much a priori knowledge on dynamic models of control plants. In KLSPI, ...
Missing: Cruise | Show results with:Cruise
Dec 11, 2019 · Abstract. This paper proposes a model-based deep reinforcement learning (DRL) algorithm for coop- erative adaptive cruise control (CACC) of ...
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Abstract. This paper addresses the problem of model-free reinforcement learning for Robust Markov Deci- sion Process (RMDP) with large state spaces. The.
Missing: Self- Cruise
This chapter reviews least-squares methods for policy iteration, an important class of algorithms for approximate reinforcement learning.
Missing: Self- Cruise
Self-learning cruise control using · kernel-based least squares policy iteration. ... Kernel-based least squares policy iteration for · reinforcement learning.