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» Programmable Reinforcement Learning Agents
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AIIDE
2007
13 years 11 months ago
Personality-based Adaptation for Teamwork in Game Agents
This paper presents a novel learning framework to provide computer game agents the ability to adapt to the player as well as other game agents. Our technique generally involves a ...
Chek Tien Tan, Ho-Lun Cheng
FLAIRS
2004
13 years 10 months ago
Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients
The intensive care unit is a challenging environment to both patient and caregiver. Continued shortages in staffing, principally in nursing, increase risk to patient and healthcar...
Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny,...
JAIR
2011
187views more  JAIR 2011»
13 years 3 months ago
A Monte-Carlo AIXI Approximation
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
ICALT
2005
IEEE
14 years 2 months ago
ActiveTutor
In this paper we present an architecture dedicated to an intelligently assisted educational tool which integrates within a unified framework software rational agents both at the m...
Jean Pierre Fournier
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
14 years 3 months ago
Apply ant colony optimization to Tetris
Tetris is a falling block game where the player’s objective is to arrange a sequence of different shaped tetrominoes smoothly in order to survive. In the intelligence games, ag...
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi,...