most citedElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning

12 citations · 12 across the 2 of their papers we have counts for

collaborators

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.LG2021★ 12 cited

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning

Xiao-Yang Liu, Zechu Li, Zhuoran Yang +5

Deep reinforcement learning (DRL) has revolutionized learning and actuation in applications such as game playing and robotic control. The cost of data collection, i.e., generating…