Collaborated with:Peter I. Cowling Nicholas H. Slaven S.Devlin Edward Jack Powley Anastasija Anspoka Jeff Rollason V.J.Hodge
Talks about:search (2) oppon (2) carlo (2) tree (2) mont (2) experiment (1) entertain (1) gameplay (1) strateg (1) predict (1)
Person: Nick Sephton
DBLP: Sephton:Nick
Contributed to:
20142015
20162016Wrote 4 papers:
- CIG-2014-SephtonCPS #game studies #heuristic #monte carlo
- Heuristic move pruning in Monte Carlo Tree Search for the strategic card game Lords of War (NS, PIC, EJP, NHS), pp. 1–7.
- CIG-2015-SephtonCS #case study
- An experimental study of action selection mechanisms to create an entertaining opponent (NS, PIC, NHS), pp. 122–129.
- AIIDE-2016-DevlinASCR #game studies #monte carlo
- Combining Gameplay Data with Monte Carlo Tree Search to Emulate Human Play (SD, AA, NS, PIC, JR), pp. 16–22.
- CIG-2016-SephtonCDHS #android #mining #predict #using
- Using association rule mining to predict opponent deck content in android: Netrunner (NS, PIC, SD, VJH, NHS), pp. 1–8.