Concept Learning in Deep Reinforcement Learning.
Diego GomezNicanor QuijanoLuis Felipe GiraldoPublished in: CoRR (2020)
Keyphrases
- concept learning
- reinforcement learning
- function approximation
- inductive logic programming
- constructive induction
- model free
- reinforcement learning algorithms
- machine learning
- feature construction
- negative examples
- markov decision processes
- learning algorithm
- transfer learning
- dynamic programming
- temporal difference
- high dimensional
- databases
- optimal policy
- supervised learning
- data model
- concept detection