Disentangled Skill Embeddings for Reinforcement Learning.
Janith C. PetangodaSergio Pascual-DiazVincent AdamPeter VrancxJordi Grau-MoyaPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- model free
- state space
- machine learning
- dimensionality reduction
- high dimensional data
- optimal policy
- reinforcement learning algorithms
- vector space
- markov decision processes
- low dimensional
- skills needed
- learning algorithm
- transfer learning
- distance measure
- hidden markov models
- learning problems
- learning process
- multi agent
- action selection
- temporal difference
- markov decision process
- temporal difference learning
- multi agent reinforcement learning
- database