no code implementations • 29 Jun 2023 • Wanming Yu, Chuanyu Yang, Christopher McGreavy, Eleftherios Triantafyllidis, Guillaume Bellegarda, Milad Shafiee, Auke Jan Ijspeert, Zhibin Li
Robot motor skills can be learned through deep reinforcement learning (DRL) by neural networks as state-action mappings.
no code implementations • 8 Oct 2017 • Doo Re Song, Chuanyu Yang, Christopher McGreavy, Zhibin Li
This paper presents a deep learning framework that is capable of solving partially observable locomotion tasks based on our novel interpretation of Recurrent Deterministic Policy Gradient (RDPG).
