An Efficient Deep $Q$-learning Strategy for Sequential Decision-making in Game-playing
Author:
Affiliation:
1. School of Mathematical and Computational Sciences, Yachay Tech University,San Miguel de Urcuquí,Ecuador
2. College of Sciences and Engineering, Universidad San Francisco de Quito,Quito,Ecuador
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10063747/10063748/10063776.pdf?arnumber=10063776
Reference17 articles.
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2. Residual Algorithms: Reinforcement Learning with Function Approximation
3. Stable fitted reinforcement learning;gordon;Proceedings of the 8th International Conference on Neural Information Processing Systems ser NIPS'95,1995
4. Evolving Tic-Tac-Toe Playing Algorithms Using Co-Evolution, Interactive Fitness and Genetic Programming
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