Name: MSCA Training Week - UT
Start: 2025-02-03T09:30:00+01:00
End: 2025-02-07T17:30:00+01:00

The 4EC doctoral training course "Reinforcement Learning in Digital Finance" offers a comprehensive exploration of reinforcement learning (RL), which is a powerful framework to support sequential decision-making under uncertainty.

Candidates will delve into the theoretical foundations of reinforcement learning, state-of-the-art algorithms, and practical applications within the digital finance domain. RL can facilitate and enhance sequential decision-making processes and services in finance, such as algorithmic trading, portfolio optimization, risk management, and fraud detection. Doctoral candidates will gain a solid understanding of the theoretical underpinnings of RL as well as practical experience in implementing reinforcement learning algorithms to solve real-world financial problems. The applications will consider constraints and regulations that concern privacy, algorithmic bias, and explainability.

By the end of the course, candidates will be equipped with the knowledge and skills to leverage reinforcement learning for optimizing control, enhancing performance, and improving services in the dynamic landscape of digital finance.

This event is organized as part of the MSCA Industrial Doctoral Network Digital Finance. The course is open to participants beyond the network, as long as capacity allows. In case of insufficient capacity, doctoral candidates from the network will have priority. Please note that our online stream is available to all.

**Please fill in this [form](https://forms.office.com/Pages/ResponsePage.aspx?id=xl4Yfoas9k6zq_DiJKIc1mKHXnnakftOu0SxjdugHP1UQklEVU5PVVVNVEE4SkFBS1JCNEk4N0VaRS4u) before attending the event.**
**Click [here](https://www.digital-finance-msca.com/schedule/msca-training-week-ut-1) to see the schedule of the event.**
**Join the online event via [Teams](https://teams.microsoft.com/l/meetup-join/19%3ameeting_YTIyMDUwZmYtZTEyMS00ZjliLThjMmUtYTI1ZDQzNWRmMjM2%40thread.v2/0?context=%7b%22Tid%22%3a%22723246a1-c3f5-43c5-acdc-43adb404ac4d%22%2c%22Oid%22%3a%2258e0697e-987f-4268-9a5b-bd3122628949%22%7d).**

This event description will no longer be actively updated, please consult the schedule for the latest updates.

Frederik Sinan Bernard

Wouter van Heeswijk

Zurich AI

Technology

Artificial Intelligence

Big Data

Data Analytics

Predictive Analytics

Financial Services

Finance

Machine Learning

Financial Technology

Data Science

Blockchain

Sustainability

MSCA Training Week - UT

Deep Reinforcement Learning

Risk Management

Algorithmic Trading

Ravelijn building, University of Twente

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