Hierarchical Imitation and Reinforcement Learning.
Hoang Minh LeNan JiangAlekh AgarwalMiroslav DudíkYisong YueHal Daumé IIIPublished in: ICML (2018)
Keyphrases
- database
- reinforcement learning
- function approximation
- hierarchical reinforcement learning
- reinforcement learning algorithms
- model free
- markov decision processes
- learning algorithm
- optimal policy
- state space
- transfer learning
- learning process
- multi agent
- temporal difference
- hierarchical model
- support vector
- optimal control
- machine learning
- dynamic programming
- imitation learning
- markov decision process
- partially observable
- hierarchical clustering
- learning problems
- computational model
- probabilistic model