Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation.
Tejas D. KulkarniKarthik NarasimhanArdavan SaeediJoshua B. TenenbaumPublished in: CoRR (2016)
Keyphrases
- temporal abstractions
- intrinsic motivation
- reinforcement learning
- statistically significant
- clinical data
- college students
- temporal reasoning
- influence diagrams
- state space
- temporal patterns
- time stamped
- temporal data
- learning algorithm
- temporal databases
- visual representation
- cognitive style
- job satisfaction
- optimal policy
- probabilistic inference
- qualitative and quantitative
- patient data
- machine learning
- attitudes toward
- decision problems
- x ray
- active learning
- user interface
- decision making