Single Episode Policy Transfer in Reinforcement Learning.
Jiachen YangBrenden K. PetersenHongyuan ZhaDaniel FaissolPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- optimal policy
- transfer learning
- policy search
- markov decision problems
- markov decision process
- approximate dynamic programming
- machine learning
- partially observable environments
- partially observable
- action selection
- optimal control
- multi agent
- neural network
- model free
- function approximation
- policy gradient
- active learning
- robotic control