Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping.
Haitham Bou-AmmarMatthew E. TaylorKarl TuylsGerhard WeissPublished in: EUMAS (2011)
Keyphrases
- reinforcement learning
- transfer learning
- sparse data
- function approximation
- markov decision processes
- knowledge transfer
- learning algorithm
- reinforcement learning algorithms
- compressive sensing
- high dimensional
- model free
- optimal policy
- robotic control
- reward function
- compressed sensing
- action space
- data sets
- transferring knowledge
- dynamic programming
- hidden markov models
- learning process
- training set
- multi agent
- multiscale
- genetic algorithm
- machine learning