most citedModel-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles

27 citations · 27 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 27 cited

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles

Xinglong Zhang, Yaoqian Peng, Biao Luo +3

Recently, safe reinforcement learning (RL) with the actor-critic structure for continuous control tasks has received increasing attention. It is still challenging to learn a near-o…