Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity.
Minryung R. SongSang Wan LeePublished in: Neural Networks (2020)
Keyphrases
- dynamic resource allocation
- reinforcement learning
- temporal difference
- resource allocation
- function approximation
- allocation policies
- machine learning
- learning algorithm
- model free
- state space
- markov decision processes
- semi markov
- reinforcement learning algorithms
- information systems
- optimal policy
- website
- autonomous learning
- activity theory
- learning capabilities
- video sequences
- action selection
- learning process
- optimal control
- dynamic programming
- learning problems
- human activities