- Title
- Applying reinforcement learning in playing Robosoccer using the AIBO
- Creator
- Mukherjee, Subhasis
- Date
- 2010
- Type
- Text; Thesis; Masters
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/39872
- Identifier
- vital:4145
- Abstract
- "Robosoccer is a popular test bed for AI programs around the world in which AIBO entertainments robots take part in the middle sized soccer event. These robots need a variety of skills to perform in a semi-real environment like this. The three key challenges are manoeuvrability, image recognition and decision making skills. This research is focussed on the decision making skills ... The work focuses on whether reinforcement learning as a form of semi supervised learning can effectively contribute to the goal keeper's decision making when a shot is taken." -; Master of Computing (by research)
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Robotics; Artificial intelligence; Reinforcement learning; Machine learning
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Australian Digital Thesis | 2 MB | Adobe Acrobat PDF | View Details Download |