425 citations · 739 across the 25 of their papers we have counts for
1 paper · 1 filter
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…