Hierarchical Policy Learning is Sensitive to Goal Space Design.
Zach DwielMadhavun CandadaiMariano J. PhielippArjun K. BansalPublished in: CoRR (2019)
Keyphrases
- learning process
- unsupervised learning
- learning algorithm
- hybrid learning
- search space
- prior knowledge
- design principles
- learning systems
- learning goals
- data sets
- design space
- inductive inference
- learning design
- learning problems
- active learning
- machine learning
- learning tasks
- markov decision processes
- knowledge acquisition
- engineering design
- user interface
- reinforcement learning
- case study