Transfer Learning in Deep Reinforcement Learning: A Survey.
Zhuangdi ZhuKaixiang LinJiayu ZhouPublished in: CoRR (2020)
Keyphrases
- transfer learning
- reinforcement learning
- learning tasks
- knowledge transfer
- multi task learning
- cross domain
- machine learning
- semi supervised learning
- domain adaptation
- manifold alignment
- function approximation
- model free
- labeled data
- multi task
- state space
- transfer knowledge
- active learning
- target domain
- learning algorithm
- reinforcement learning algorithms
- markov decision processes
- machine learning algorithms
- collaborative filtering
- context sensitive
- text categorization
- temporal difference
- pairwise
- transferring knowledge
- neural network
- text classification
- text mining
- support vector machine
- e learning
- algorithmic information theory