Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning.
Caleb ChuckSupawit ChockchowwatScott NiekumPublished in: IROS (2020)
Keyphrases
- reinforcement learning
- data driven
- function approximation
- hierarchical reinforcement learning
- hierarchical clustering
- discovery process
- reinforcement learning algorithms
- temporal difference
- pattern discovery
- data mining
- machine learning
- coarse to fine
- behavioural cloning
- database
- robotic control
- hierarchical structure
- markov decision processes
- optimal policy
- learning process
- multiscale
- learning algorithm
- action selection
- state space
- reward function
- dynamic programming
- hierarchical model
- deep learning
- scientific discovery
- temporal difference learning
- databases