Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

S. AhlawatReinforcement Learning for Financehttps://doi.org/10.1007/978-1-4842-8835-1_6

6. Recent RL Algorithms

Samit Ahlawat¹  

(1)

Irvington, NJ, USA

 

Reinforcement learning has taken some of its biggest strides in the past few years, with innovative algorithms paving the way for reinforcement learning to beat human opponents at many games and creating new performance benchmarks. This chapter describes the recent advances in reinforcement learning algorithm development, explaining the underlying theory and elucidating it with additional examples. In doing so, it provides valuable insights into the theory and implementation of these algorithms and a window ...