Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains.
Vishal SoniSatinder P. SinghPublished in: AAAI (2006)
Keyphrases
- reinforcement learning
- transfer learning
- continuous domains
- cross domain
- transferring knowledge
- knowledge transfer
- deterministic domains
- action space
- active learning
- function approximation
- learning tasks
- markov decision processes
- state space
- learning algorithm
- learning process
- multi agent
- learning problems
- real world
- graph theory
- application domains
- complex domains
- continuous state
- machine learning
- multi agent reinforcement learning
- control problems
- temporal difference
- target domain
- labeled data