Observational Learning by Reinforcement Learning.
Diana BorsaNicolas HeessBilal PiotSiqi LiuLeonard HasencleverRémi MunosOlivier PietquinPublished in: AAMAS (2019)
Keyphrases
- observational learning
- reinforcement learning
- learning theory
- function approximation
- state space
- elementary school
- optimal control
- optimal policy
- learning algorithm
- model free
- transfer learning
- reinforcement learning algorithms
- multi agent reinforcement learning
- markov decision processes
- supervised learning
- dynamic programming
- temporal difference
- learning process
- robotic control
- multi agent
- learning problems
- machine learning
- hidden markov models
- action selection
- action space
- policy search