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Palmer, Gregory
(2020)
Independent Learning Approaches: Overcoming Multi-Agent Learning Pathologies In Team-Games.
PhD thesis, University of Liverpool.
Palmer, Gregory, Tuyls, Karl, Bloembergen, Daan and Savani, Rahul 
ORCID: 0000-0003-1262-7831
(2018)
Lenient Multi-Agent Deep Reinforcement Learning.
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Palmer, Gregory, Tuyls, Karl, Bloembergen, Daan and Savani, Rahul ORCID: 0000-0003-1262-7831
(2018)
Lenient Multi-Agent Deep Reinforcement Learning.
In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Stockholm.
Palmer, Gregory, Savani, Rahul ORCID: 0000-0003-1262-7831 and Tuyls, Karl
(2019)
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning.
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Palmer, Gregory, Green, Mark ORCID: 0000-0002-0942-6628, Boyland, Emma ORCID: 0000-0001-8384-4994, Vasconcelos, Yales Stefano Rios, Savani, Rahul ORCID: 0000-0003-1262-7831 and Singleton, Alex
(2021)
A deep learning approach to identify unhealthy advertisements in street view images.
SCIENTIFIC REPORTS, 11 (1).
4884-.
Calafiore, Alessia ORCID: 0000-0002-5953-2891, Palmer, Gregory, Comber, Sam, Arribas-Bel, Daniel ORCID: 0000-0002-6274-1619 and Singleton, Alex
(2021)
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 85.
p. 101539.