Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks.
Luca MarzariAmeya PoreDiego Dall'AlbaGerardo Aragon-CamarasaAlessandro FarinelliPaolo FioriniPublished in: ICAR (2021)
Keyphrases
- reinforcement learning
- function approximation
- state abstraction
- hierarchical reinforcement learning
- learning algorithm
- case study
- hierarchical model
- higher level
- coarse to fine
- hierarchical decomposition
- state space
- real time
- reinforcement learning algorithms
- model free
- hierarchical structure
- robot control
- temporal difference
- learning classifier systems
- supervised learning
- dynamic programming
- multi agent
- multiscale
- machine learning