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» Synthesising Features by Games
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99
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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 2 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 4 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 3 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 8 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
76
Voted
LICS
2000
IEEE
15 years 2 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