The World of Trading with Deep Reinforcement Learning by Dr Thomas Starke [WEBINAR]

In this session, Dr Starke will explain the elements of DRL and how it can be applied to trading through "gamification".

Registration Link: https://www.quantinsti.com/reinforcement-learning-trading-webinar-thomas-starke-22-september-2020?utm_source=Eventsget&utm_medium=referral&utm_campaign=22sept202

0webTUESDAY, SEPTEMBER 22, 2020

7:30 AM ET | 5:00 PM IST | 7:30 PM SGT

#10YEARSOFQUANTINSTI

As they say, knowledge is the greatest gift in life. While celebrating our 10 years of existence, we’ve planned this series to thank our community. We are thankful to you from the bottom of our heart for showing the love & support in our journey over the years!

ABOUT SESSION :

This is the second webinar of our #10YearsOfQuantInsti series.

In this session, we’ll be interacting with Dr Thomas Starke on Deep Reinforcement Learning (DRL). DRL has been very successful in beating the reigning world champion of the world's hardest board game GO. This talk explains the elements of DRL and how it can be applied to trading through "gamification".

Dr Starke has lectured ‘Computer simulation’ at Oxford University and is very active in the quantitative trading community. He frequently conducts workshops and presentations on algorithmic trading around the world.

SPEAKER PROFILE :

Dr Starke has a PhD in Physics and currently leads the quant-trading team in one of the leading prop-trading firms in Australia, AAAQuants, as its CEO. He has also held the senior research fellow position at Oxford University. Dr Starke has previously worked at the proprietary trading firm Vivienne Court, and at Memjet Australia, the world leader in high-speed printing. He has led strategic research projects for Rolls-Royce Plc (UK) and is also the co-founder of the micro chip design company pSemi.

Registration Link: https://www.quantinsti.com/reinforcement-learning-trading-webinar-thomas-starke-22-september-2020?utm_source=Eventsget&utm_medium=referral&utm_campaign=22sept2020web

Others Details

In this session, Dr Starke will explain the elements of DRL and how it can be applied to trading through "gamification".