40 citations · 102 across the 11 of their papers we have counts for
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cs.LG2018★ 1 cited
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael Ong +26
In the NIPS 2017 Learning to Run challenge, participants were tasked with building a controller for a musculoskeletal model to make it run as fast as possible through an obstacle c…
cs.LG2017★ 17 cited
Learning to Run with Actor-Critic Ensemble
Zhewei Huang, Shuchang Zhou, BoEr Zhuang +1
We introduce an Actor-Critic Ensemble(ACE) method for improving the performance of Deep Deterministic Policy Gradient(DDPG) algorithm. At inference time, our method uses a critic e…