Bayesian Transfer Reinforcement Learning with Prior Knowledge Rules.
Michalis K. TitsiasSotirios NikoloutsopoulosPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- prior knowledge
- transfer learning
- incorporation of prior knowledge
- function approximation
- prior domain knowledge
- domain knowledge
- bayesian networks
- multi agent
- background knowledge
- association rules
- state space
- attribute values
- decision rules
- learning classifier systems
- rule sets
- production rules
- posterior probability
- bayesian estimation
- reinforcement learning algorithms
- knowledge transfer
- data driven
- domain experts
- prior information
- classification rules
- latent variables
- posterior distribution
- bayesian framework
- bayesian methods
- temporal difference
- markov decision processes
- maximum likelihood
- optimal policy
- association rule mining