18 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Parallel -Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
Zechu Li, Tao Chen, Zhang-Wei Hong +2
Reinforcement learning is time-consuming for complex tasks due to the need for large amounts of training data. Recent advances in GPU-based simulation, such as Isaac Gym, have sped…
cs.RO2022★ 18 cited
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior
Gabriel B Margolis, Pulkit Agrawal
Learned locomotion policies can rapidly adapt to diverse environments similar to those experienced during training but lack a mechanism for fast tuning when they fail in an out-of-…