Projects per year
Abstract / Description of output
Reinforcement learning has made significant strides in recent years, including in the development of Atari and Go-playing agents. It is now widely acknowledged that logical syntax adds considerable flexibility in both the modelling of domains as well as the interpretability of domains. In this survey paper, we cover the fundamentals of how logic, reinforcement learning, and deep learning can be unified, with some ideas for future work.
Original language | English |
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Title of host publication | Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023 |
Publisher | SCITEPRESS |
Pages | 713-722 |
Number of pages | 10 |
Volume | 3 |
ISBN (Electronic) | 9789897586231 |
DOIs | |
Publication status | Published - 22 Feb 2023 |
Event | The 15th International Conference on Agents and Artificial Intelligence, 2023 - Lisbon, Portugal Duration: 22 Feb 2023 → 24 Feb 2023 Conference number: 15 https://icaart.scitevents.org/Home.aspx |
Publication series
Name | International Conference on Agents and Artificial Intelligence |
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Publisher | SCITEPRESS |
ISSN (Electronic) | 2184-433X |
Conference
Conference | The 15th International Conference on Agents and Artificial Intelligence, 2023 |
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Abbreviated title | ICAART 2023 |
Country/Territory | Portugal |
City | Lisbon |
Period | 22/02/23 → 24/02/23 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- Logic-based reinforcement learning
Fingerprint
Dive into the research topics of 'Logic + Reinforcement Learning + Deep Learning: A Survey'. Together they form a unique fingerprint.Projects
- 1 Finished
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UKRI Trustworthy Autonomous Systems Node in Governance and Regulation
Ramamoorthy, R., Belle, V., Bundy, A., Jackson, P., Lascarides, A. & Rajan, A.
1/11/20 → 30/04/24
Project: Research