Research output per year
Research output per year
Search results
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2016
A Conceptual Framework of Business Model Emerging Resilience
Goumagias, N., Fernandes, K., Cabras, I., Li, F., Shao, J., Devlin, S., Hodge, V. J., Cowling, P. I. & Kudenko, D., 7 Jul 2016.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
A Strategic Roadmap for Business Model Change for the Video-games Industry
Goumagias, N., Purvis, K., Fernandes, K., Cabras, I., Li, F., Shao, J., Devlin, S., Hodge, V. J., Cowling, P. & Kudenko, D., 3 May 2016, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Combining Gameplay Data with Monte Carlo Tree Search to Emulate Human Play
Devlin, S., Anspoka, A., Sephton, N. J., Cowling, P. I. & Rollason, J., 19 Sept 2016.Research output: Contribution to conference › Paper › peer-review
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Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems
Malialis, K., Devlin, S. & Kudenko, D., 9 May 2016, p. 512-520. 9 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
Using Association Rule Mining to Predict Opponent Deck Content in Android: Netrunner
Sephton, N. J., Cowling, P. I., Devlin, S., Hodge, V. J. & Slaven, N. H., 20 Sept 2016.Research output: Contribution to conference › Paper › peer-review
Open AccessFile -
2014
Game Intelligence: Proceedings of the IEEE Conference on Computational Intelligence in Games (CIG)
Devlin, S., Cowling, P. I., Kudenko, D., Goumagias, N., Nucciarelli, A., Cabras, I., Fernandes, K. J. & Li, F., 2014.Research output: Contribution to conference › Paper › peer-review
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2011
Multi-Agent Potential-based Reward Shaping for RoboCup KeepAway
Devlin, S., Grzes, M. & Kudenko, D., May 2011.Research output: Contribution to conference › Paper › peer-review
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2010
Multi-Agent Reinforcement Learning with Reward Shaping for KeepAway Takers
Devlin, S., Grzes, M. & Kudenko, D., May 2010.Research output: Contribution to conference › Paper › peer-review
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2009
Reinforcement Learning in RoboCup KeepAway with Partial Observability
Devlin, S., Grzes, M. & Kudenko, D., 2009, p. 201-208.Research output: Contribution to conference › Paper › peer-review