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1
Realtime Strategy Task Force
IEEE CIG 2015 StarCraft AI
Competition Results
Sehar Shahzad Farooq, In-Seok Oh,
Man-Je Kim and Kyung-Joong Kim
Cognition and Intelligence Lab (CILab) (http://cilab.sejong.ac.kr )
Dept. of Computer Engineering, Sejong University, Seoul, Republic of Korea
sehar146@gmail.com, ohinsuk@naver.com, jaykim0104@gmail.com,
and kimkj@sejong.ac.kr
2
Realtime Strategy Task Force
Organizers
Kyung-Joong Kim
(Vice chair of RTS TF)
Sehar Shahzad Farooq
(Assistant CILAB (Ph.D.))
In-Seok Oh
(Former Professional Gamer in StarCraft 2)
Man-Jae Kim
(Undergraduate Student)
3
Realtime Strategy Task Force
Competition Background
4
Realtime Strategy Task Force
StarCraft
Resource
Management
Micro
Management
Build Orders
(Strategy)
Uncertainty
(Fog-of-War)
Real-Time
Response
5
Realtime Strategy Task Force
IEEE CIG StarCraft AI Competitions
Organizers # of Entries Winner
2015
Sehar Shahzad Farooq
In-Seok Oh
Man-Je Kim
Kyung-Joong Kim
14 ?
2014
Ho-Chul Cho
In-Seok Oh
Kyung-Joong Kim
13 IceBot (Terran)
2013
Mike Preuss
Antonio Mora Garcia
Tobias Mahlmann
8 Skynet (Protoss)
2012
Tobias Mahlmann
Mike Preuss
10 Skynet (Protoss)
2011
Tobias Mahlmann
Mike Preuss
10 Skynet (Protoss)
6
Realtime Strategy Task Force
Observations in StarCraft AI competitions since 2011
>AI
Empire of Protoss Race in AI World
> >
7
Realtime Strategy Task Force
2014 Results !!! (13 participants)
Rank Bot Name Main Contributor Race Affiliation
Win Rate
(%)
1 ICEBot Kien Nguyen Quang Terran Ritsumeikan University 83.06
2 Ximp Thomas Vajda Protoss Independent 78.06
3 LetaBot Martin Rooijackers Terran Maastricht University 68.47
4 AIUR Florian Richoux Protoss University of Nantes 66.11
5
UAlbertaBot
2013
David Churchill Protoss University of Alberta 60
6 WOPR Soren Klett Terran University of Bielefeld 56.53
7 MassCraft Dennis Soemers Protoss Maastricht University 55.14
8 NOVA Alberto Uriarte Terran Drexel University 38.89
9 MooseBot Adam Montgomerie Protoss University of Bristol 38.33
10 TerranUAB Filip Bober Terran Poznan University of Technology 34.03
11 BTHAI Johan Hagelback Terran Linnaeus University 31.53
12 NUSBot GU Zhan Protoss Institute of Systems Science, NUS 21.53
13 CruzBot Daniel Montalvo Protoss UC Santa Cruz 18.33
8
Realtime Strategy Task Force
2015 Competition
9
Realtime Strategy Task Force
Race Newcomer Botname Contributor Affiliation
Zerg New ZZZBot Chris Coxe Independent
Zerg New Tscmoo_Z Vegard Mella Independent
Zerg New OverKill Sijia Xu Independent
Zerg New Salsa Pablo Garcia Sanchez University of Granada, Spain
Terran New Tscmoo_T Vegard Mella Independent
Terran New OpprimoBot Johan Hagelback Linnaeus University, Sweden
Terran New Tyr Simon Prins Utrecht University, Netherlands
Terran New Tequila Pablo Garcia Sanchez Politecnico di Torino, Italy
Terran LetaBot Martin Rooijackers Maastricht University, Nederland
Terran WOPR2014 Sören Klett University of Bielefeld, Germany
Terran NOVA Alberto Uriarte Drexel University, USA
Terran ICEStarCraftBot2014 Nguyen Duc Tung et al. Ritsumeikan University, Japan
Protoss NUSBot2014 Gu Zhan et al. National University of Singapore
Protoss Ximp Tomas Vajda Independent
Protoss AIUR2014 Florian Richoux Université de Nantes, France
Protoss UAlbertaBot2013 David Churchill University of Alberta, Canada
Entries (16 Participants, 14 Entries, 8 Newcomers, 2 crashed)
10
Realtime Strategy Task Force
Basic Rules
• One vs. One match
• Full round robin
• 30 rounds with 5 maps
• In total, 2730 games (30 minute time limitation)
• We used 20 machines for three days
• We had opened the maps to promote generalization
• No agreement on the release of source code > Recommended
• BWAPI (C++ or JAVA) and File I/O is allowed
11
Realtime Strategy Task Force
Result Announcement!!!!!
(3rd Rank)
12
Realtime Strategy Task Force
3rd Rank
• Overkill (Zerg, Newcomer)
• Sijia Xu, Independent
• A* and Influence map AI technique
• Find the best attacking/ retreating position
• Script based AI, mainly using FSM with scalable architecture
• Main Attacking units are aircraft units
• Win Rates : 62.05%
13
Realtime Strategy Task Force
Overkill
14
Realtime Strategy Task Force
Result Announcement!!!!!
(2nd Rank)
15
Realtime Strategy Task Force
2nd Rank
• Tscmoo_Z (Zerg, Newcomer)
• Vegard Mella, Independent
• Powerful attacking strategy
• Avoid to confront enemy in weak situation
• Using guerrilla approach, find the steady weak enemy
• Win Rates : 73.59%
16
Realtime Strategy Task Force
Tscmoo_Z
17
Realtime Strategy Task Force
2015 Winner is …
18
Realtime Strategy Task Force
19
Realtime Strategy Task Force
1st Rank
• ZZZBot (Zerg, Newcomer)
• Chris Coxe, Independent
• 4 drone strategy Very fast sudden attack (Avg. time 5:52)
• Less unit producer (scarce force)
• Win Rates : 81.03%
20
Realtime Strategy Task Force
ZZZBot
21
Realtime Strategy Task Force
Final Ranking
22
Realtime Strategy Task Force
Rank Name Race Win (%) Comment
1 ZZZBot Zerg 81.03 Newcomer
2 Tscmoo_Z Zerg 73.59 Newcomer
3 Overkill Zerg 62.05 Newcomer
4 LetaBot Terran 61.54 3rd
in CIG 2014
5 Ximp Protoss 60.26 2nd
in CIG 2014
6 Tyr Terran 54.1 Newcomer
7 ICEStarCraft Terran 53.85 1st
in CIG 2014
8 AIUR Protoss 53.33 3rd
in CIG 2013
9 Tscmoo_T Terran 53.08 Newcomer
10 UAlbertaBot2013 Protoss 48.46 2nd
in CIG 2013
11 WOPR Terran 46.41
12 NUSBot Protoss 21.79
13 OpprimoBot Terran 20.51 Newcomer
14 NOVA Terran 10
23
Realtime Strategy Task Force
Remarks
• Source code of entries, results, and replays at
competition website
• http://cilab.sejong.ac.kr/sc_competition/
• To be continued in 2016
• Please consider to create your new entries !!!
24
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/

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Cig 2015 star craft ai competition results

  • 1. 1 Realtime Strategy Task Force IEEE CIG 2015 StarCraft AI Competition Results Sehar Shahzad Farooq, In-Seok Oh, Man-Je Kim and Kyung-Joong Kim Cognition and Intelligence Lab (CILab) (http://cilab.sejong.ac.kr ) Dept. of Computer Engineering, Sejong University, Seoul, Republic of Korea sehar146@gmail.com, ohinsuk@naver.com, jaykim0104@gmail.com, and kimkj@sejong.ac.kr
  • 2. 2 Realtime Strategy Task Force Organizers Kyung-Joong Kim (Vice chair of RTS TF) Sehar Shahzad Farooq (Assistant CILAB (Ph.D.)) In-Seok Oh (Former Professional Gamer in StarCraft 2) Man-Jae Kim (Undergraduate Student)
  • 3. 3 Realtime Strategy Task Force Competition Background
  • 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 IEEE CIG StarCraft AI Competitions Organizers # of Entries Winner 2015 Sehar Shahzad Farooq In-Seok Oh Man-Je Kim Kyung-Joong Kim 14 ? 2014 Ho-Chul Cho In-Seok Oh Kyung-Joong Kim 13 IceBot (Terran) 2013 Mike Preuss Antonio Mora Garcia Tobias Mahlmann 8 Skynet (Protoss) 2012 Tobias Mahlmann Mike Preuss 10 Skynet (Protoss) 2011 Tobias Mahlmann Mike Preuss 10 Skynet (Protoss)
  • 6. 6 Realtime Strategy Task Force Observations in StarCraft AI competitions since 2011 >AI Empire of Protoss Race in AI World > >
  • 7. 7 Realtime Strategy Task Force 2014 Results !!! (13 participants) Rank Bot Name Main Contributor Race Affiliation Win Rate (%) 1 ICEBot Kien Nguyen Quang Terran Ritsumeikan University 83.06 2 Ximp Thomas Vajda Protoss Independent 78.06 3 LetaBot Martin Rooijackers Terran Maastricht University 68.47 4 AIUR Florian Richoux Protoss University of Nantes 66.11 5 UAlbertaBot 2013 David Churchill Protoss University of Alberta 60 6 WOPR Soren Klett Terran University of Bielefeld 56.53 7 MassCraft Dennis Soemers Protoss Maastricht University 55.14 8 NOVA Alberto Uriarte Terran Drexel University 38.89 9 MooseBot Adam Montgomerie Protoss University of Bristol 38.33 10 TerranUAB Filip Bober Terran Poznan University of Technology 34.03 11 BTHAI Johan Hagelback Terran Linnaeus University 31.53 12 NUSBot GU Zhan Protoss Institute of Systems Science, NUS 21.53 13 CruzBot Daniel Montalvo Protoss UC Santa Cruz 18.33
  • 8. 8 Realtime Strategy Task Force 2015 Competition
  • 9. 9 Realtime Strategy Task Force Race Newcomer Botname Contributor Affiliation Zerg New ZZZBot Chris Coxe Independent Zerg New Tscmoo_Z Vegard Mella Independent Zerg New OverKill Sijia Xu Independent Zerg New Salsa Pablo Garcia Sanchez University of Granada, Spain Terran New Tscmoo_T Vegard Mella Independent Terran New OpprimoBot Johan Hagelback Linnaeus University, Sweden Terran New Tyr Simon Prins Utrecht University, Netherlands Terran New Tequila Pablo Garcia Sanchez Politecnico di Torino, Italy Terran LetaBot Martin Rooijackers Maastricht University, Nederland Terran WOPR2014 Sören Klett University of Bielefeld, Germany Terran NOVA Alberto Uriarte Drexel University, USA Terran ICEStarCraftBot2014 Nguyen Duc Tung et al. Ritsumeikan University, Japan Protoss NUSBot2014 Gu Zhan et al. National University of Singapore Protoss Ximp Tomas Vajda Independent Protoss AIUR2014 Florian Richoux Université de Nantes, France Protoss UAlbertaBot2013 David Churchill University of Alberta, Canada Entries (16 Participants, 14 Entries, 8 Newcomers, 2 crashed)
  • 10. 10 Realtime Strategy Task Force Basic Rules • One vs. One match • Full round robin • 30 rounds with 5 maps • In total, 2730 games (30 minute time limitation) • We used 20 machines for three days • We had opened the maps to promote generalization • No agreement on the release of source code > Recommended • BWAPI (C++ or JAVA) and File I/O is allowed
  • 11. 11 Realtime Strategy Task Force Result Announcement!!!!! (3rd Rank)
  • 12. 12 Realtime Strategy Task Force 3rd Rank • Overkill (Zerg, Newcomer) • Sijia Xu, Independent • A* and Influence map AI technique • Find the best attacking/ retreating position • Script based AI, mainly using FSM with scalable architecture • Main Attacking units are aircraft units • Win Rates : 62.05%
  • 13. 13 Realtime Strategy Task Force Overkill
  • 14. 14 Realtime Strategy Task Force Result Announcement!!!!! (2nd Rank)
  • 15. 15 Realtime Strategy Task Force 2nd Rank • Tscmoo_Z (Zerg, Newcomer) • Vegard Mella, Independent • Powerful attacking strategy • Avoid to confront enemy in weak situation • Using guerrilla approach, find the steady weak enemy • Win Rates : 73.59%
  • 16. 16 Realtime Strategy Task Force Tscmoo_Z
  • 17. 17 Realtime Strategy Task Force 2015 Winner is …
  • 19. 19 Realtime Strategy Task Force 1st Rank • ZZZBot (Zerg, Newcomer) • Chris Coxe, Independent • 4 drone strategy Very fast sudden attack (Avg. time 5:52) • Less unit producer (scarce force) • Win Rates : 81.03%
  • 21. 21 Realtime Strategy Task Force Final Ranking
  • 22. 22 Realtime Strategy Task Force Rank Name Race Win (%) Comment 1 ZZZBot Zerg 81.03 Newcomer 2 Tscmoo_Z Zerg 73.59 Newcomer 3 Overkill Zerg 62.05 Newcomer 4 LetaBot Terran 61.54 3rd in CIG 2014 5 Ximp Protoss 60.26 2nd in CIG 2014 6 Tyr Terran 54.1 Newcomer 7 ICEStarCraft Terran 53.85 1st in CIG 2014 8 AIUR Protoss 53.33 3rd in CIG 2013 9 Tscmoo_T Terran 53.08 Newcomer 10 UAlbertaBot2013 Protoss 48.46 2nd in CIG 2013 11 WOPR Terran 46.41 12 NUSBot Protoss 21.79 13 OpprimoBot Terran 20.51 Newcomer 14 NOVA Terran 10
  • 23. 23 Realtime Strategy Task Force Remarks • Source code of entries, results, and replays at competition website • http://cilab.sejong.ac.kr/sc_competition/ • To be continued in 2016 • Please consider to create your new entries !!!
  • 24. 24 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/