About the course

Academic information

Throughout the course, participants will gain a fundamental understanding of RL, acquiring the ability to apply learned principles to various scenarios. Advanced techniques such as policy gradients and actor-critic methods will also be explored to deepen understanding of modern approaches in Reinforcement Learning. Through practical examples, participants will have the opportunity to apply acquired knowledge to real-world problems.


At the end of the course, participants will be equipped to analyze complex problems, identify appropriate RL techniques, and apply them in practice. This interactive training will provide a solid foundation for further exploration and application of Reinforcement Learning in various fields, from robotics to finance.


The lecturers will be professors from the Faculty of Technical Sciences in Novi Sad, and the whole course is supported by SMIC UNIDO.

Information for participants

Criteria for selection of participants: The selection of participants will be based on motivation letters, answers to questions when filling out the application form and previous academic knowledge on similar topics.

Arrangement for participants

Academic activities
Food: Three meals (at least one hot meal)
Transport: Public transport and walking
Part of social activities: socializing and weekend trip

General information

Location: Novi Sad, Serbia
Organizer: BEST Novi Sad
Est. working time: 26 hours
ECTS credits issued: 1.0
Survival guide >>Schedule >>

Participation fee

Fee: 72 euros
Deposit: 20-60 euros
Criteria for selection of participants: The selection of participants will be based on motivation letters, answers to questions when filling out the application form and previous academic knowledge on similar topics. here.
The deposit is returned after the course and it serves as a confirmation that the participant will be attend to the course

Applications

Applications will be closed on 10th March 23:00 CET.
Apply now!
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