Hierarchical principles of embodied reinforcement learning: A review.
Manfred EppeChristian GumbschMatthias KerzelPhuong D. H. NguyenMartin V. ButzStefan WermterPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- hierarchical reinforcement learning
- function approximation
- state space
- reinforcement learning algorithms
- markov decision processes
- robotic control
- learning algorithm
- learning capabilities
- coarse to fine
- hierarchical structure
- hierarchical tree
- multi agent reinforcement learning
- cognitive models
- stochastic approximation
- temporal difference
- real time
- transfer learning
- optimal policy
- dynamic programming
- case study
- decision trees
- data sets