Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems.
Alberto CastagnaIvana DusparicPublished in: CoRR (2021)
Keyphrases
- transfer learning
- reinforcement learning
- multi agent
- learning tasks
- knowledge transfer
- reinforcement learning agents
- machine learning
- manifold alignment
- active learning
- transfer knowledge
- cross domain
- state space
- labeled data
- semi supervised learning
- multi task
- learning algorithm
- domain adaptation
- solve complex tasks
- transferring knowledge
- neural network
- previously learned
- reinforcement learning algorithms
- multi task learning
- training data
- markov decision processes
- machine learning algorithms
- text categorization
- text classification
- natural language processing