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NIPS
2003
13 years 10 months ago
Policy Search by Dynamic Programming
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff...
NIPS
2003
13 years 10 months ago
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science
Despite the popularity of connectionist models in cognitive science, their performance can often be difficult to evaluate. Inspired by the geometric approach to statistical model ...
Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Ja...
NIPS
2003
13 years 10 months ago
Training a Quantum Neural Network
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
Bob Ricks, Dan Ventura
RIVF
2003
13 years 10 months ago
Complex Systems Modeling
—This paper addresses the simulation of the dynamics of complex systems by using hierarchical graph and multi-agent system. A complex system is composed of numerous interacting p...
Christophe Lecerf, Thi Minh Luan Nguyen
RIVF
2003
13 years 10 months ago
Overview of Game Theory and Using to model the Knowledge of multi-agent system
— Game theory models and analyzes the situations of conflict and cooperation among independent decision-makers. We can view the runs of a multi-agent system as a game where the ...
Thuy Lien Pham, Marc Bui, Michel Lamure