211 citations · 517 across the 10 of their papers we have counts for
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cs.AI2022★ 5 cited
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
Alejandro Escontrela, Xue Bin Peng, Wenhao Yu +4
Training a high-dimensional simulated agent with an under-specified reward function often leads the agent to learn physically infeasible strategies that are ineffective when deploy…
cs.AI2018
Terrain RL Simulator
Glen Berseth, Xue Bin Peng, Michiel van de Panne
We provide challenging simulation environments that range in difficulty. The difficulty of solving a task is linked not only to the number of dimensions in the action space bu…