A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress

Saurabh Arora
Saurabh Arora

arXiv: Learning, Volume abs/1806.06877, 2018.

Cited by: 44|Views7
EI

Abstract:

Inverse reinforcement learning is the problem of inferring the reward function of an observed agent, given its policy or behavior. Researchers perceive IRL both as a problem and as a class of methods. By categorically surveying the current literature in IRL, this article serves as a reference for researchers and practitioners in machine l...More

Code:

Data:

Your rating :
0

 

Tags
Comments