2020
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
ICLR 2020poster
The practical usage of reinforcement learning agents is often bottlenecked by the duration of training time. To accelerate training, practitioners often turn to distributed reinforcement learning architectures to parallelize and accelerate the training process. However, modern methods for scalable r…