Learning a Set of Interrelated Tasks by Using Sequences of Motor Policies for a Strategic Intrinsically Motivated Learner.
Nicolas DuminySao Mai NguyenDominique DuhautPublished in: CoRR (2018)
Keyphrases
- learning process
- learning systems
- learning algorithm
- hypothesis space
- active learning
- case study
- probability distribution
- supervised learning
- background knowledge
- learning tasks
- multi task
- mobile learning
- reinforcement learning agents
- iterative learning
- multiple tasks
- machine learning
- positive examples
- inductive inference
- learning scenarios
- decision making
- optimal policy
- knowledge acquisition
- e learning
- reinforcement learning