
Dr John Levine
Senior Teaching Fellow
Computer and Information Sciences
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Publications
- Why people skip music? On predicting music skips using deep reinforcement learning
- Meggetto Francesco, Revie Crawford, Levine John, Moshfeghi Yashar
- Proceedings of the 2023 Conference on Human Information Interaction and Retrieval 8th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2023, pp. 95-106 (2023)
- https://doi.org/10.1145/3576840.3578312
- Why people skip music? On predicting music skips using deep reinforcement learning
- Meggetto Francesco, Revie Crawford, Levine John, Moshfeghi Yashar
- (2023)
- https://doi.org/10.48550/arXiv.2301.03881
- On skipping behaviour types in music streaming sessions
- Meggetto Francesco, Revie Crawford, Levine John, Moshfeghi Yashar
- CIKM '21 International Conference on Information and Knowledge Management, Proceedings, pp. 3333-3337 (2021)
- https://doi.org/10.1145/3459637.3482123
- A continuous information gain measure to find the most discriminatory problems for AI benchmarking
- Stephenson Matthew, Anderson Damien, Khalifa Ahmed, Levine John, Renz Jochen, Togelius Julian, Salge Christoph
- 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings 2020 IEEE Congress on Evolutionary Computation, CEC 2020 (2020)
- https://doi.org/10.1109/CEC48606.2020.9185834
- Ensemble Decision Systems for general video game playing
- Anderson Damien, Rodgers Philip, Levine John, Guerrero-Romero Cristina, Perez-Liebana Diego
- IEEE Conference on Games (COG) 2019 (2019)
- Open-world games : an exploration of creative play
- Arnott Lorna, Levine John, Shanks Gillian
- Early Learning in the Digital Age (2019) (2019)
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Professional Activities
- IEEE Congress on Evolutionary Computation
- Member of programme committee
- 2011
- EPSRC (Engineering and Physical Sciences Research Council) (External organisation)
- Member
- 2010
- EPSRC (Engineering and Physical Sciences Research Council) (External organisation)
- Member
- 2008
- International Journal of Metaheuristics (Journal)
- Editorial board member
- 1/2008
Projects
- Capita PhD Studentship Application Awarded: Open World Gaming for Young Children's Creative Play
- Arnott, Lorna (Academic) Levine, John (Academic)
- 01-Jan-2015 - 01-Jan-2019
- EVOLVING AND GENERALISING VERY HIGH QUALITY KNOWLEDGE FOR AI PLANNING
- Levine, John (Principal Investigator) Fox, Maria (Co-investigator) Long, Derek (Co-investigator)
- This project is concerned with making AI planning practical by exploiting evolutionary learning techniques to acquire control knowledge automatically. This control knowledge can be used to prune useless branches of the search space and to propose promising branches. Whilst human-coded control rules have been shown to be useful in planning, their specification is an effort-intensive process which makes them difficult or impossible to generalise. Their use has tended to be confined to relatively simple domain models about which the human has a good understanding of the dynamics. We propose to learn powerful rules automatically from both static and dynamic sources of information about the planning domain and the process of planning within that domain. Furthermore, we will develop a method for learning generic rules that apply to classes of domains and that can be automatically customised for a particular domain. This reduces or even removes the burden on the human and results in scalable planning technology.
- 01-Jan-2006 - 31-Jan-2010
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Contact
Dr
John
Levine
Senior Teaching Fellow
Computer and Information Sciences
Email: john.levine@strath.ac.uk
Tel: 548 4524