Transfer of task representation in reinforcement learning using policy-based proto-value functions.
Eliseo FerranteAlessandro LazaricMarcello RestelliPublished in: AAMAS (3) (2008)
Keyphrases
- reinforcement learning
- optimal policy
- function approximation
- transfer learning
- policy search
- markov decision process
- action selection
- machine learning
- function approximators
- knowledge transfer
- state space
- active learning
- partially observable environments
- image representation
- reinforcement learning problems
- neural network
- actor critic
- temporal difference learning
- control policy
- learning algorithm
- multiscale
- representation scheme
- reward function
- temporal difference
- multi agent
- learning process
- markov decision processes