Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Max Goldstein
Max Goldstein
Denis Yarats
Denis Yarats
Rob Fergus
Rob Fergus
Cited by: 0|Views32

Abstract:

Deep reinforcement learning (RL) agents often fail to generalize to unseen scenarios, even when they are trained on many instances of semantically similar environments. Data augmentation has recently been shown to improve the sample efficiency and generalization of RL agents. However, different tasks tend to benefit from different kinds...More

Code:

Data:

Get fulltext within 24h
Bibtex
Upload PDF

1.Your uploaded documents will be check within 24h, and coins will be credited to your account.

2.As the current system does not support cash withdrawal, you can add staff WeChat (AMxiaomai) to receive it as a red packet.

3.10 coins will be exchanged for 1 yuan.

?

Upload a single paper

for 5 coins

Wechat's Red Packet
?

Upload 50 articles

for 280 coins

Wechat's Red Packet
?

Upload 200 articles

for 1200 coins

Wechat's Red Packet
?

Upload 500 articles

for 3000 coins

Wechat's Red Packet
?

Upload 1000 articles

for 7000 coins

Wechat's Red Packet
Your rating :
0

 

Tags
Comments