Probing Transfer in Deep Reinforcement Learning without Task Engineering.
Andrei Alex RusuSebastian FlennerhagDushyant RaoRazvan PascanuRaia HadsellPublished in: CoLLAs (2022)
Keyphrases
- reinforcement learning
- transfer learning
- knowledge transfer
- engineering problems
- state space
- engineering design
- function approximation
- artificial intelligence
- mechanical engineering
- temporal difference learning
- cross domain
- robotic control
- optimal control
- markov decision processes
- computer science
- multi agent
- machine learning
- design process
- supervised learning
- active learning
- computer aided design
- partially observable
- systems engineering
- previously learned
- autonomous learning
- real world