Deep Net Reinforcement Learning Algorithm

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A Deep Net Reinforcement Learning Algorithm is a NNet reinforcement learning algorithm that is a deep neural net learning algorithm.



References

2017

2016a

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2015

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1992

  • (Williams, 1992) ⇒ Ronald J. Williams. (1992). "Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning." In: *Machine Learning*, Volume 8, Pages 229-256. doi:10.1007/BF00992696.
    • QUOTE: “This paper introduces the foundational policy gradient algorithm for reinforcement learning using function approximators.”
    • NOTE: It establishes the principle of using gradients to optimize neural networks for sequential decision-making.