Issue Date | Title | Author(s) |
2015-11-04 | Combining Monte Carlo tree search and apprenticeship learning for capture the flag | Ivanovo, J; Raffe, WL; Zambetta, F; Li, X |
2016-01-01 | Dynamic choice of state abstraction in Q-learning | Tamassia, M; Zambetta, F; Raffe, WL; Mueller, FF; Li, X |
2015-11-04 | Enhancing theme park experiences through adaptive cyber-physical play | Raffe, WL; Tamassia, M; Zambetta, F; Li, X; Mueller, FF |
2011-08-24 | Evolving patch-based terrains for use in video games | Raffe, WL; Zambetta, F; Li, X |
2015-06-01 | Integrated Approach to Personalized Procedural Map Generation Using Evolutionary Algorithms | Raffe, WL; Zambetta, F; Li, X; Stanley, KO |
2015-01-01 | Learning options for an MDP from demonstrations | Tamassia, M; Zambetta, F; Raffe, W; Li, X |
2018-03-01 | Learning Options From Demonstrations: A Pac-Man Case Study | Tamassia, M; Zambetta, F; Raffe, WL; Mueller, FF; Li, X |
2018-01-29 | Measuring player skill using dynamic difficulty adjustment | Demediuk, S; Tamassia, M; Raffe, WL; Zambetta, F; Mueller, FF; Li, X |
2017-10-23 | Monte Carlo tree search based algorithms for dynamic difficulty adjustment | Demediuk, S; Tamassia, M; Raffe, WL; Zambetta, F; Li, X; Mueller, F |
2013-08-21 | Neuroevolution of content layout in the PCG: Angry bots video game | Raffe, WL; Zambetta, F; Li, X |
2015-10-05 | Player-computer interaction features for designing digital play experiences across six degrees of water contact | Raffe, WL; Tamassia, M; Zambetta, F; Li, X; Pell, SJ; Mueller, FF |
2016-07-02 | Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game | Tamassia, M; Raffe, W; Sifa, R; Drachen, A; Zambetta, F; Hitchens, M |
2020-01-22 | Reducing perceived waiting time in theme park queues via an augmented reality game | Zambetta, F; Raffe, W; Tamassia, M; Mueller, FF; Li, X; Quinten, N; Patibanda, R; Dang, D; Satterley, J |