425 citations · 1.8k across the 99 of their papers we have counts for
1 paper · 2 filters
Guillaume Sartoretti, William Paivine, Yunfei Shi +2
State-of-the-art distributed algorithms for reinforcement learning rely on multiple independent agents, which simultaneously learn in parallel environments while asynchronously upd…