Using Evolution and Deep Learning to Generate Diverse Intelligent Agents

Author:

Joseph Marshall,Ross Brian J.

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Abadi, M.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). https://www.tensorflow.org/, software available from tensorflow.org

2. Lecture Notes in Computer Science;Y Bengio,2012

3. Bottou, L., Curtis, F.E., Nocedal, J.: Optimization methods for large-scale machine learning. SIAM Rev. 60(2), 223–311 (2018). https://doi.org/10.1137/16M1080173

4. Chen, X.E., Ross, B.J.: Deep neural network guided evolution of l-system trees. In: 2021 IEEE Congress on Evolutionary Computation (CEC), pp. 2507–2514 (2021). https://doi.org/10.1109/CEC45853.2021.9504827

5. Cowan, T.: Strategies for Evolving Diverse and Effective Behaviours in Pursuit Domains. Master’s thesis, Brock University (2021)

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