69 citations · 105 across the 3 of their papers we have counts for
4 papers
Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning
Guillaume Bellegarda, Yiyu Chen, Zhuochen Liu +1
Deep reinforcement learning has emerged as a popular and powerful way to develop locomotion controllers for quadruped robots. Common approaches have largely focused on learning act…
Robust Quadruped Jumping via Deep Reinforcement Learning
Guillaume Bellegarda, Chuong Nguyen, Quan Nguyen
In this paper, we consider a general task of jumping varying distances and heights for a quadrupedal robot in noisy environments, such as off of uneven terrain and with variable ro…
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning
Guillaume Bellegarda, Katie Byl
Recent breakthroughs both in reinforcement learning and trajectory optimization have made significant advances towards real world robotic system deployment. Reinforcement learning…
Training in Task Space to Speed Up and Guide Reinforcement Learning
Guillaume Bellegarda, Katie Byl
Recent breakthroughs in the reinforcement learning (RL) community have made significant advances towards learning and deploying policies on real world robotic systems. However, eve…