10.1k citations · 17.9k across the 129 of their papers we have counts for
1 paper · 2 filters
Ziyu Wang, Victor Bapst, Nicolas Heess +4
This paper presents an actor-critic deep reinforcement learning agent with experience replay that is stable, sample efficient, and performs remarkably well on challenging environme…