Data networks
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Models for iterative global optimization
Models for iterative global optimization
Learning evaluation functions for global optimization and Boolean satisfiability
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
The dynamics of reinforcement learning in cooperative multiagent systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Adaptivity in agent-based routing for data networks
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Using collective intelligence to route Internet traffic
Proceedings of the 1998 conference on Advances in neural information processing systems II
Learning instance-independent value functions to enhance local search
Proceedings of the 1998 conference on Advances in neural information processing systems II
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Collective Intelligence and Braess' Paradox
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Minds and Machines
Artificial Intelligence Review
Unifying Temporal and Structural Credit Assignment Problems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Machine learning in digital games: a survey
Artificial Intelligence Review
Collective intelligence, data routing and braess' paradox
Journal of Artificial Intelligence Research
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A multiagent cooperative learning algorithm
CSCWD'06 Proceedings of the 10th international conference on Computer supported cooperative work in design III
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Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a tendency to be "shared" across several output classes or even may not contribute ...