An abstraction agorithm for genetics-based reinforcement learning.
William N. L. BrowneDan ScottPublished in: GECCO (2005)
Keyphrases
- reinforcement learning
- state abstraction
- temporal abstractions
- function approximation
- high level
- model free
- multi agent reinforcement learning
- temporal difference
- state space
- learning algorithm
- reinforcement learning algorithms
- optimal policy
- learning problems
- structured sparse learning
- parallel distributed
- robotic control
- decision theoretic planning
- policy search
- transition model
- information retrieval
- information systems
- autonomous learning
- continuous state
- data abstraction
- case study
- partially observable
- multi agent
- artificial neural networks
- learning process