Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation.
Massimiliano PatacchiolaMingfei SunKatja HofmannRichard E. TurnerPublished in: CoLLAs (2023)
Keyphrases
- meta learning
- fine tuning
- meta knowledge
- inductive learning
- learning tasks
- model selection
- machine learning algorithms
- decision trees
- fine tuned
- base classifiers
- video sequences
- metamodel
- knowledge acquisition
- feature selection
- data mining
- databases
- database
- source code
- prior knowledge
- reinforcement learning
- case study