EFNQL: An Efficient Method Based On Q-learning And Fuzzy Neural Networks In Robocup Soccer Simulation
Author:
Affiliation:
1. Central South University,School of Computer Science and Engineering,Changsha,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10242356/10242622/10242735.pdf?arnumber=10242735
Reference17 articles.
1. Structure-Preserving Imitation Learning With Delayed Reward: An Evaluation Within the RoboCup Soccer 2D Simulation Environment
2. Q-Learning: Theory and Applications
3. Q-Learning Algorithms: A Comprehensive Classification and Applications
4. Robust Markov Decision Processes: Beyond Rectangularity
5. A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks
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