Collaborated with:
Xiaodong Li 0001 William L. Raffe Marco Tamassia J.Thangarajah F.'.Mueller Jessica Rivera-Villicana Edward Booth Michael Dann Jayden Ivanovic Jayden Ivanovo J.Harland Marsha Berry Sarah Jane Pell R.Sifa Anders Drachen M.Hitchens Simon Demediuk
Talks about:
player (4) comput (3) learn (3) play (3) reinforc (2) interact (2) approach (2) predict (2) search (2) experi (2)
Person: Fabio Zambetta
DBLP: Zambetta:Fabio
Contributed to:
Wrote 9 papers:
- CIG-2014-IvanovicZLR #learning
- Reinforcement learning to control a commander for capture the flag (JI, FZ, XL0, JRV), pp. 1–8.
- 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-BoothTZ #flexibility #game studies #generative
- Flexible story generation with norms and preferences in computer role playing games (EB, JT, FZ), pp. 68–74.
- CIG-2015-DannZT #approach #learning
- An improved approach to reinforcement learning in Computer Go (MD, FZ, JT), pp. 169–176.
- 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.
- CHI-PLAY-2018-Rivera-Villicana #interactive
- Informing a BDI Player Model for an Interactive Narrative (JRV, FZ, JH, MB), pp. 417–428.