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» A social reinforcement learning agent
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EVOW
2003
Springer
14 years 4 months ago
The Emergence of Social Learning in Artificial Societies
The most recent advances of artificial life research are opening up a new frontier: the creation of simulated life environments populated by autonomous agents. In several cases a n...
Mauro Annunziato, Piero Pierucci
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
14 years 5 months ago
Heterogeneous and Hierarchical Cooperative Learning via Combining Decision Trees
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
Masoud Asadpour, Majid Nili Ahmadabadi, Roland Sie...
IJCNN
2008
IEEE
14 years 5 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
ICML
2000
IEEE
14 years 12 months ago
Eligibility Traces for Off-Policy Policy Evaluation
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
Doina Precup, Richard S. Sutton, Satinder P. Singh
CI
2005
106views more  CI 2005»
13 years 11 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird