ZARZA We are Zarza, the prestigious firm behind major projects in information technology.
Listen "Reinforcement Learning and Interpretability"
Episode Synopsis
Patrick Zoro welcomes to his podcasts Hariom Tatsat author of the book "Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python 1st Edition", Bryan Yekelchik Lehigh MFE graduate and Zach Coriarty 4th Year, Bachelors of Science in Computer Science and Business at Lehigh University, Interested in data science and ML, LinkedIn: https://www.linkedin.com/in/zachary-coriarty/
They discuss their recent paper on "Deep Q-Network Interpertability: Applications to ETF Trading" https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3973146
https://www.svedbergopen.com/files/1643786733_(3)_IJAIML2021YH205248CR_(p_61-70).pdf
They discuss their recent paper on "Deep Q-Network Interpertability: Applications to ETF Trading" https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3973146
https://www.svedbergopen.com/files/1643786733_(3)_IJAIML2021YH205248CR_(p_61-70).pdf
More episodes of the podcast The Quant / Financial Engineering Podcast
Gamma Capture Intraday Volatility
10/11/2025
CRYPTOSAZZ
20/08/2025
Orchid (The A.I. Asset Management Firm)
17/06/2025
Stock Market Turmoil Analysis
03/04/2025
The Trump Tariffs (part 2)
11/02/2025
The Impending Tariffs on China-Mexico-Canada
11/02/2025
Accounting and AI
10/02/2025
Corporate Material Event Sequences with LLMs
10/02/2025
What about DeepSeek R1 ?
30/01/2025
In God we trust