Reinforcement Learning for Heterogeneous Teams with PALO Bounds

arXiv: Learning, Volume abs/1805.09267, 2018.

Cited by: 0|Views13


We introduce reinforcement learning for heterogeneous teams in which rewards for an agent are additively factored into local costs, stimuli unique to each agent, and global rewards, those shared by all agents in the domain. Motivating domains include coordination of varied robotic platforms, which incur different costs for the same action...More



Get fulltext within 24h
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 250 coins

Wechat's Red Packet

Upload 200 articles

for 1000 coins

Wechat's Red Packet

Upload 500 articles

for 2500 coins

Wechat's Red Packet

Upload 1000 articles

for 5000 coins

Wechat's Red Packet
Your rating :