Hierarchical Reinforcement Learning for Pedagogical Policy Induction.
Guojing ZhouHamoon AzizsoltaniMarkel Sanz AusinTiffany BarnesMin ChiPublished in: AIED (1) (2019)
Keyphrases
- hierarchical reinforcement learning
- reward function
- reinforcement learning
- markov decision process
- optimal policy
- average reward
- model free
- e learning
- state abstraction
- learning environment
- inductive learning
- machine learning
- markov decision processes
- learning process
- policy iteration
- infinite horizon
- partially observable
- search space
- state space
- concept learning
- dynamic programming
- subgroup discovery
- optimal solution