Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks.
Luca MarzariAmeya PoreDiego Dall'AlbaGerardo Aragon-CamarasaAlessandro FarinelliPaolo FioriniPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- function approximation
- state abstraction
- hierarchical reinforcement learning
- higher level
- hierarchical structure
- learning algorithm
- deep learning
- multi agent
- hierarchical clustering
- multiple layers
- markov decision processes
- data mining
- learning classifier systems
- action selection
- temporal difference
- reinforcement learning algorithms
- multi agent reinforcement learning
- data sets
- real time