Task-Specific Loss: A Teacher-Centered Approach to Transfer Learning Between Distinctly Structured Robotic Agents.
Mehdi MounsifSébastien LengagneBenoît ThuilotLounis AdouanePublished in: ICINCO (Selected Papers) (2020)
Keyphrases
- transfer learning
- robotic agents
- prediction with expert advice
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- reinforcement learning
- transfer knowledge
- multi task
- active learning
- machine learning
- collaborative filtering
- semi supervised learning
- multi task learning
- text categorization
- structure learning
- manifold alignment
- knowledge acquired
- machine learning algorithms
- learning algorithm
- unlabeled data
- learning process
- domain adaptation
- real world
- text mining
- training data
- object recognition
- recommender systems
- knowledge discovery