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DC Field | Value | Language |
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dc.contributor.author | Zhou, Hongwei | - |
dc.contributor.author | Gong, Yichen | - |
dc.contributor.author | Mugrai, Luvneesh | - |
dc.contributor.author | Khalifa, Ahmed | - |
dc.contributor.author | Nealen, Andy | - |
dc.contributor.author | Togelius, Julian | - |
dc.date.accessioned | 2021-10-12T06:51:59Z | - |
dc.date.available | 2021-10-12T06:51:59Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Zhou, H., Gong, Y., Mugrai, L., Khalifa, A., Nealen, A., & Togelius, J. (2018). A hybrid search agent in Pommerman. FDG '18: Proceedings of the 13th International Conference on the Foundations of Digital Games, Malmö. | en_GB |
dc.identifier.isbn | 9781450365710 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/81996 | - |
dc.description.abstract | In this paper, we explore the possibility of search-based agents in games with resource-intensive forward models. We implemented a player agent in the Pommerman framework and put it against the baseline agent to measure its performance. We implemented a heuristic agent and improved it by enabling depth-limited tree search in specific gameplay moments. We also compared different node selection methods during depth-limited tree search. Our result shows that depth-limited tree search is still viable when presented with inefficient forward models and exploitation-driven selection method is the most efficient in this specific domain. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Association for Computing Machinery | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Search engines -- Programming | en_GB |
dc.subject | Artificial intelligence | en_GB |
dc.subject | Monte Carlo method | en_GB |
dc.title | A hybrid search agent in Pommerman | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | FDG '18: Foundations of Digital Games 2018 | en_GB |
dc.bibliographicCitation.conferenceplace | Malmö, Sweden, 07-10/08/2018 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1145/3235765.3235812 | - |
Appears in Collections: | Scholarly Works - InsDG |
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A_hybrid_search_agent_in_Pommerman_2018.pdf | 731.64 kB | Adobe PDF | View/Open |
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