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A 'Neural' Network that Learns to Play Backgammon ⬇️

scholarly article by Gerald Tesauro & Terrence J. Sejnowski published 1988 in Neural Information Processing Systems

Asymptotic Convergence of Backpropagation: Numerical Experiments ⬇️

artículo científico publicado en 1990

Can neural networks do better than the Vapnik-Chervonenkis bounds? ⬇️

scholarly article by David Cohn & Gerald Tesauro published 1991 in Advances in Neural Information Processing Systems 3

Connectionist Learning of Expert Preferences by Comparison Training ⬇️

artículo científico publicado en 1989

Dialog-based Interactive Image Retrieval ⬇️

Extending Q-Learning to General Adaptive Multi-Agent Systems ⬇️

artículo científico publicado en 2004

Learning Abstract Options ⬇️

Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning ⬇️

artículo científico publicado en 2008

Neural Network Visualization ⬇️

artículo científico publicado en 1990

On-line Policy Improvement using Monte-Carlo Search ⬇️

Practical Issues in Temporal Difference Learning ⬇️

artículo científico publicado en 1992

Practical issues in temporal difference learning

Programming backgammon using self-teaching neural nets

Reports of the AAAI 2014 Conference Workshops

Scaling and Generalization in Neural Networks: A Case Study ⬇️

artículo científico publicado en 1989

Temporal difference learning and TD-Gammon

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