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- 1. 1 Realtime Strategy Task Force CIG 2014 StarCraft AI Competition Ho-Chul Cho, In-Seok Oh, and Kyung-Joong Kim* Cognition and Intelligence Lab (http://cilab.sejong.ac.kr) Dept. of Computer Engineering, Sejong University, Seoul, Republic of Korea {chc2212@naver.com, ohinsuk@naver.com, kimkj@sejong.ac.kr}
- 2. 2 Realtime Strategy Task Force Organizers Kyung-Joong Kim (Vice chair of RTS TF) Ho-Chul Cho (StarCraft AI Participant since 2011) In-Suk Oh (Former Professional Gamer in StarCraft 2)
- 3. 3 Realtime Strategy Task Force Backgrounds
- 4. 4 Realtime Strategy Task Force StarCraft Resource Management Micro Management Build Orders (Strategy) Uncertainty (Fog-of-War) Real-Time Response
- 5. 5 Realtime Strategy Task Force Observations in StarCraft AI competitions since 2010 > AI Empire of Protoss Race in AI World > >
- 6. 6 Realtime Strategy Task Force 2013 Results !!!! Rank Bot Name Main Contributor Race Win Rate 1 Skynet Andrew Smith Protoss 91.1% 2 UAlbertaBot David Churchill Protoss 67.4% 3 AIUR Florian Richoux Protoss 54.9% 4 Xelnaga Ho-Chul Cho Protoss 53.6% 5 Adjutant Nicholas Bowen Terran 42.4% 6 ICEStarcraftBot2013 Nguyen Quang Kien Terran 37.1% 7 Nova Alberto Uriarte Terran 32.1% 8 BTHAI Johan Hagelbäck Terran 12.5%
- 7. 7 Realtime Strategy Task Force 2014 Competitions
- 8. 8 Realtime Strategy Task Force Race Newcomer Botname Contributor Affiliation Protoss New CruzBot Daniel Montalvo UC Santa Cruz, USA Protoss New MooseBot Adam Montgomerie University of Bristol, UK Protoss New MaasCraft Dennis Soemers et. al Maastricht University, Nederland Protoss New NUSBot Gu Zhan et al. National University of Singapore, Singapore Protoss New Ximp Tomas Vajda Independent Protoss AIUR Florian Richoux Université de Nantes, France Protoss UAlbertaBot2013 David Churchill University of Alberta, Canada Terran New LetaBot Martin Rooijackers et. al Maastricht University, Nederland Terran New WOPR Sören Klett University of Bielefeld, Germany Terran New TerranUAB Filip Bober et al. Poznan University of Technology, Poland Terran BTHAI Johan Hagelbäck Linnaeus University, Sweden Terran NOVA Alberto Uriarte Drexel University, USA Terran ICEBot Nguyen Duc Tung et al. Ritsumeikan University, Japan Entries (13 Entries, 8 Newcomers)
- 9. 9 Realtime Strategy Task Force Basic Rules •One vs. One match •Full round robin •60 rounds with 20 maps (balanced and diverse maps) •In total, 4680 games (1 hour time limitation) •We used 20 machines for a week •We do not open maps and entries, to promote generalization •Agreement on the release of source code •BWAPI (C++ or JAVA) and File I/O is allowed
- 10. 10 Realtime Strategy Task Force Result Announcement!!!!! (3rd Rank)
- 11. 11 Realtime Strategy Task Force 3rd Rank •LetaBot (Terran, Newcomer) •Martin Rooijackers and M. Winands, University Maastricht, Nederland •Terran Bot with many different strategies, some of which involve using a wall-in to stop early attacks. Uses depth first search and flood fill to calculate possible wall-in location(s). •Win Rates : 68.47%
- 12. 12 Realtime Strategy Task Force Mike Preuss
- 13. 13 Realtime Strategy Task Force Result Announcement!!!!! (2nd Rank)
- 14. 14 Realtime Strategy Task Force 2nd Rank •XIMP (Protoss, Newcomer) •Tomas Vajda, Independent •Win Rates : 78.06%
- 15. 15 Realtime Strategy Task Force Mike Preuss
- 16. 16 Realtime Strategy Task Force 2014 Winner is …
- 17. 17 Realtime Strategy Task Force 1st Rank •ICEBot (Terran) •Nguyen Duc Tung, Nguyen Quang Kien, Kawase Kiyohito, Yamamoto Takahiro, Lee Hyunchong, Awagakubo Ren, Ruck Thawonmas, Ritsumeikan University, Japan •Potential flows, finite state machine, enemy strategy prediction which triggers adaptive strategy rules and a lot of other heuristic things are applied in this bot. •Win Rates : 83.06%
- 18. 18 Realtime Strategy Task Force ICEBot
- 19. 19 Realtime Strategy Task Force Final Ranking
- 20. 20 Realtime Strategy Task Force Rank Name Race Win (%) Comment 1 ICEBot Terran 83.06 2 Ximp Protoss 78.06 Newcomer 3 LetaBot Terran 68.47 Newcomer 4 AIUR Protoss 66.11 5 UAlbertaBot2013 Protoss 60.00 2nd CIG 2013 6 WOPR Terran 56.53 Newcomer 7 MaasCraft Protoss 55.14 Newcomer 8 NOVA Terran 38.89 9 MooseBot Protoss 38.33 Newcomer 10 TerranUAB Terran 34.03 Newcomer 11 BTHAI Terran 31.53 12 NUSBot Protoss 21.53 Newcomer 13 CruzBot Protoss 18.33 Newcomer
- 21. 21 Realtime Strategy Task Force Discussion •A lot of newcomers Some bots are created based on open-source UAlbertaBot by David Churchill and other entries It helps to build CruzBot, MooseBot, NUSBot and TerranUAB •Terran race are successful •Improved micro-management skills •Bots start to understand “terrain”
- 22. 22 Realtime Strategy Task Force Remarks •Source code of entries, results, and replays at competition website •Please consider to create your new entries !!! •To be continued in 2015
- 23. 23 Realtime Strategy Task Force Thank you RTS Task Force (Chair: Mike Preuss) http://gameai.itu.dk/rtsg/ StarCraft AI Competition Homepage http://cilab.sejong.ac.kr/sc_competition/