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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 5 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
ATAL
2009
Springer
15 years 7 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
ACMACE
2005
ACM
15 years 6 months ago
Designing a narrative-based audio only 3D game engine
Immersing players in believable and engaging virtual environments is a common goal for many interactive computer games. While PC-based audio only games set in virtual worlds have ...
Timothy Roden, Ian Parberry
SOCROB
2010
111views Robotics» more  SOCROB 2010»
14 years 10 months ago
Adaptive Robot Design with Hand and Face Tracking for Use in Autism Therapy
This research explores interactive games using hand and face tracking with a robot as a tool for autism therapy. The robot is equipped with a head and two arms, each with two degre...
Laura Boccanfuso, Jason M. O'Kane
LICS
2000
IEEE
15 years 4 months ago
Game Semantics and Subtyping
While Game Semantics has been remarkably successful at g, often in a fully abstract manner, a wide range of features of programming languages, there has to date been no attempt at...
Juliusz Chroboczek