Collaborative Control of Vehicle Platoon based on Deep Reinforcement Learning
J Chen, X Wu, Z Lv, Z Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We propose a novel vehicle platoon collaborative control algorithm based on deep
reinforcement learning. Aiming at the slow convergence speed of traditional reinforcement …
reinforcement learning. Aiming at the slow convergence speed of traditional reinforcement …
Back-stepping Experience Replay with Application to Model-free Reinforcement Learning for a Soft Snake Robot
In this paper, we propose a novel technique, Back-stepping Experience Replay (BER), that
is compatible with arbitrary off-policy reinforcement learning (RL) algorithms. BER aims to …
is compatible with arbitrary off-policy reinforcement learning (RL) algorithms. BER aims to …
Energy Management for Hev Combining Naturalistic Driving Data and Deep Reinforcement Learning with High Generalization
Generalization to unseen environments is still a challenge for deep reinforcement learning
(DRL)-based energy management strategies (EMSs). This paper proposes a scenario …
(DRL)-based energy management strategies (EMSs). This paper proposes a scenario …