Deep Reinforcement Learning

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Suggested citation

Misheva, Branka Hadji and Osterrieder, Joerg (2023). Deep Reinforcement Learning. Q2 ecosystem. Available at https://quantinar.com/course/664/deep-reinforcement-learnin or http://dx.doi.org/10.24818/IDA-CL/2023.171.

@misc{misheva2023, author = {Misheva, Branka Hadji and Osterrieder, Joerg}, title = {Deep Reinforcement Learning}, year = {2023}, howpublished = {Q2 ecosystem}, doi = {http://dx.doi.org/10.24818/IDA-CL/2023.171.}, url = {https://quantinar.com/course/664/deep-reinforcement-learnin} }
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2 components

	Deep Reinforcement Learning (pdf)	2.18 M

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General Overview

Description

Goals:
• Get an understanding of the basic concepts of RL
• Understand the intuition behind standard RL algorithms
• Understand how to implement the RL workflow in python
• Understand how RL is currently being applied in Finance