"Task-motion Planning via Tree-based Q-learning Approach for Robotic Object ..."

Giacomo Golluccio et al. (2021)

> Home

Details and statistics

DOI: 10.5220/0010542601300137

access: closed

type: Conference or Workshop Paper

metadata version: 2022-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icinco/GolluccioVMBA21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icinco/GolluccioVMBA21
Giacomo Golluccio, Daniele Di Vito, Alessandro Marino, Alessandro Bria, Gianluca Antonelli:
Task-motion Planning via Tree-based Q-learning Approach for Robotic Object Displacement in Cluttered Spaces. ICINCO 2021: 130-137

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.