most citedTorque-based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer

24 citations · 25 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2023★ 24 cited

Torque-based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer

Donghyeon Kim, Glen Berseth, Mathew Schwartz +1

In this paper, we review the question of which action space is best suited for controlling a real biped robot in combination with Sim2Real training. Position control has been popul…

cs.HC2018★ 1 cited

Interactive Diversity Optimization of Environments

Glen Berseth, Mahyar Khayatkhoei, Brandon Haworth +3

The design of a building requires an architect to balance a wide range of constraints: aesthetic, geometric, usability, lighting, safety, etc. At the same time, there are often a m…