Collaborated with:Fabio Zambetta Xiaodong Li 0001 Marco Tamassia F.'.Mueller Jayden Ivanovo Corinna Jaschek Tom Beckmann Jaime Andres Garcia Sarah Jane Pell R.Sifa Anders Drachen M.Hitchens Simon Demediuk
Talks about:player (3) predict (2) mysteri (2) search (2) murder (2) experi (2) carlo (2) tree (2) play (2) mont (2)
Person: William L. Raffe
DBLP: Raffe:William_L=
Contributed to:
2015
2015201620172019Wrote 6 papers:
- CHI-PLAY-2015-RaffeTZLPM #case study #design #experience #game studies #interactive
- Player-Computer Interaction Features for Designing Digital Play Experiences across Six Degrees of Water Contact (WLR, MT, FZ, XL0, SJP, F'M), pp. 295–305.
- CIG-2015-IvanovoRZL #learning #monte carlo
- Combining Monte Carlo tree search and apprenticeship learning for capture the flag (JI, WLR, FZ, XL0), pp. 154–161.
- CIG-2015-RaffeTZLM #adaptation #case study #cyber-physical #experience #game studies
- Enhancing theme park experiences through adaptive cyber-physical play (WLR, MT, FZ, XL0, F'M), pp. 503–510.
- CIG-2016-TamassiaRSDZH #approach #game studies #markov #modelling #online #predict
- Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game (MT, WLR, RS, AD, FZ, MH), pp. 1–8.
- CIG-2017-DemediukTRZLM #algorithm #monte carlo
- Monte Carlo tree search based algorithms for dynamic difficulty adjustment (SD, MT, WLR, FZ, XL0, F'M), pp. 53–59.
- CoG-2019-JaschekBGR #generative
- Mysterious Murder - MCTS-driven Murder Mystery Generation (CJ, TB, JAG, WLR), pp. 1–8.