1.8k citations · 3.8k across the 35 of their papers we have counts for
1 paper · 1 filter
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…