Home /Research /A policy optimization algorithm based on sample adaptive reuse and dual-clipping for robotic action control
OTHER

A policy optimization algorithm based on sample adaptive reuse and dual-clipping for robotic action control

Li-yang Zhao, Tian-qing Chang, Jie Zhang, Lei Zhang, Kai-xuan Chu, Libin Guo, Depeng Kong

Year
2022
Citations
5

Keywords

Computer scienceClipping (morphology)Reinforcement learningBenchmark (surveying)Stability (learning theory)Sample (material)Dual (grammatical number)Mathematical optimizationReuseAlgorithm

Related papers

Browse all OTHER papers