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HIS
2004
13 years 8 months ago
Stigmergy in Multi Agent Reinforcement Learning
In this paper, we describe how certain aspects of the biological phenomena of stigmergy can be imported into multiagent reinforcement learning (MARL), with the purpose of better e...
Raghav Aras, Alain Dutech, François Charpil...
ICML
1990
IEEE
13 years 11 months ago
Average Case Analysis of Conjunctive Learning Algorithms
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
Michael J. Pazzani, Wendy Sarrett
HICSS
2003
IEEE
138views Biometrics» more  HICSS 2003»
14 years 19 days ago
The BASP Agent-Based Modeling Framework: Applications, Scenarios and Lessons Learned
The Behavior Action Simulation Platform (BASP) has been in existence since early 2000, when it was first applied to small-team reconnaissance scenarios for the United States Marin...
David S. Dixon, William N. Reynolds
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
14 years 1 months ago
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
DIMEA
2007
248views Multimedia» more  DIMEA 2007»
13 years 11 months ago
Adaptive digital game-based learning framework
A common teaching and learning methodology involves one that delivers knowledge to learners within a classroom environment. With the enhancement of information technology, Web-bas...
Phit-Huan Tan, Siew-Woei Ling, Choo-Yee Ting