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Towards Hierarchical Task Decomposition using Deep Reinforcement
  Learning for Pick and Place Subtasks

Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks

8 February 2021
Luca Marzari
Ameya Pore
Diego DallÁlba
G. Aragon-Camarasa
Alessandro Farinelli
Paolo Fiorini
ArXivPDFHTML

Papers citing "Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks"

3 / 3 papers shown
Title
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
Shivam Singh
Karthik Swaminathan
Nabanita Dash
Ramandeep Singh
Snehasis Banerjee
Mohan Sridharan
Madhava Krishna
LLMAG
LM&Ro
98
0
0
04 Feb 2025
Hierarchical Primitive Composition: Simultaneous Activation of Skills
  with Inconsistent Action Dimensions in Multiple Hierarchies
Hierarchical Primitive Composition: Simultaneous Activation of Skills with Inconsistent Action Dimensions in Multiple Hierarchies
Jeong-Hoon Lee
Jongeun Choi
13
8
0
05 Oct 2021
Multi-expert learning of adaptive legged locomotion
Multi-expert learning of adaptive legged locomotion
Chuanyu Yang
Kai Yuan
Qiuguo Zhu
Wanming Yu
Zhibin Li
94
147
0
10 Dec 2020
1