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AIIDE
2008
14 years 12 months ago
Learning to be a Bot: Reinforcement Learning in Shooter Games
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
Michelle McPartland, Marcus Gallagher
ROMAN
2007
IEEE
150views Robotics» more  ROMAN 2007»
15 years 3 months ago
Asymmetric Interpretations of Positive and Negative Human Feedback for a Social Learning Agent
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
Andrea Lockerd Thomaz, Cynthia Breazeal
WAW
2010
Springer
311views Algorithms» more  WAW 2010»
14 years 7 months ago
Game-Theoretic Models of Information Overload in Social Networks
We study the effect of information overload on user engagement in an asymmetric social network like Twitter. We introduce simple game-theoretic models that capture rate competition...
Christian Borgs, Jennifer T. Chayes, Brian Karrer,...
CSEE
2006
Springer
15 years 1 months ago
SimVBSE: Developing a Game for Value-Based Software Engineering
The development of games in aid of improving and enriching a student's learning experience is again on the rise. The beer game [6] in the field of system dynamics was develop...
Apurva Jain, Barry W. Boehm
ICALT
2009
IEEE
14 years 7 months ago
Realtime Knowledge Space Skill Assessment for Personalized Digital Educational Games
Digital Educational Games offer immersive environments through which learners can enjoy motivational and compelling educational experiences. Applying personalization techniques wi...
Owen Conlan, Cormac Hampson, Neil Peirce, Michael ...