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» Using Learning in a Control Agent
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AAAI
2008
13 years 10 months ago
Fast Spectral Learning using Lanczos Eigenspace Projections
The core computational step in spectral learning
Sridhar Mahadevan
CEC
2005
IEEE
14 years 1 months ago
Effects of experience bias when seeding with prior results
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...
MIRRORBOT
2005
Springer
139views Robotics» more  MIRRORBOT 2005»
14 years 1 months ago
A Virtual Reality Platform for Modeling Cognitive Development
We present a virtual reality platform for developing and evaluating embodied models of cognitive development. The platform facilitates structuring of the learning agent, of its vi...
Hector Jasso, Jochen Triesch
AIIDE
2008
13 years 10 months ago
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
Maria Cutumisu, Duane Szafron, Michael H. Bowling,...
AAAI
1994
13 years 9 months ago
Learning to Explore and Build Maps
Using the methods demonstrated in this paper, a robot with an unknown sensorimotor system can learn sets of features and behaviors adequate to explore a continuous environment and...
David Pierce, Benjamin Kuipers