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Published inApr 2021
PublisherPackt
ISBN-139781800200883
Edition1st Edition
Concepts
Artificial Intelligence
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Authors (2):
Joseph Babcock
Joseph Babcock
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Joseph Babcock


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Raghav Bali
Raghav Bali
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Raghav Bali


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References

  1. Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., & Riedmiller, M. (2013). Playing Atari with Deep Reinforcement Learning. arXiv. https://arxiv.org/abs/1312.5602
  2. Bareketain, P. (2019, March 10). Understanding Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. Medium. https://medium.com/@parnianbrk/understanding-stabilising-experience-replay-for-deep-multi-agent-reinforcement-learning-84b4c04886b5
  3. Wikipedia user waldoalverez, under a CC BY-SA 4.0 license (https://creativecommons.org/licenses/by-sa/4.0/).
  4. Amit, R., Meir, R., & Ciosek, K. (2020). Discount Factor as a Regularizer in Reinforcement Learning. Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, PMLR 119, 2020. http://proceedings.mlr.press/v119/amit20a/amit20a.pdf
  5. Matiisen, T. (2015, December 19). Demystifying Deep Reinforcement Learning. Computational Neuroscience Lab. https://neuro.cs...
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Generative AI with Python and TensorFlow 2
Published in: Apr 2021Publisher: PacktISBN-13: 9781800200883
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