Tesauro, Gerald
A 'Neural' Network that Learns to Play Backgammon
Tesauro, Gerald, Sejnowski, Terrence J.
QUALITATIVE RESULTS Analysis of the weights produced by training a network is an exceedingly difficult problem, which we have only been able to approach qualitatively. In Figure 1 we present a diagram showing the connection strengths in a network with 651 input units and no hidden units.
A 'Neural' Network that Learns to Play Backgammon
Tesauro, Gerald, Sejnowski, Terrence J.
QUALITATIVERESULTS Analysis of the weights produced by training a network is an exceedingly difficult problem, which we have only been able to approach qualitatively. In Figure 1 we present a diagram showing the connection strengths in a network with 651 input units and no hidden units.
A 'Neural' Network that Learns to Play Backgammon
Tesauro, Gerald, Sejnowski, Terrence J.
QUALITATIVE RESULTS Analysis of the weights produced by training a network is an exceedingly difficult problem, which we have only been able to approach qualitatively. In Figure 1 we present a diagram showing the connection strengths in a network with 651 input units and no hidden units.