A parallel heterogeneous policy deep reinforcement learning algorithm for bipedal walking motion design
Considering the dynamics and non-linear characteristics of biped robots, gait optimization is an extremely challenging task. To tackle this issue, a parallel heterogeneous policy Deep Reinforcement Learning (DRL) algorithm for gait optimization is proposed. Firstly, the Deep Deterministic Policy Gra...
| Hlavní autoři: | , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
Frontiers Media S.A.
2023-08-01
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| Edice: | Frontiers in Neurorobotics |
| Témata: | |
| On-line přístup: | https://www.frontiersin.org/articles/10.3389/fnbot.2023.1205775/full |