Deep Reinforcement Learning

Deep reinforcement learning is one powerful paradigm for autonomous system to make sequential decisions. it is relevant to an enormous range of AI use cases in Kalbe CDT, including robotics, recommendation, dynamic pricing, and consumer modelling.

This class will provide a solid introduction to the field of deep reinforcement learning and students will learn about the core challenges and approaches, including generalization and exploration. Beside class-room training, OJTA is mandatory for this course.

  • Learners

    Everyone

  • Materials

    14 Videos

  • Duration

    Up to 30 Hours

  • Documents

    PDFs

Prerequisites

Python Language, Machine Learning and Deep Learning Concepts

Course Lessons

Meet our team

Risman Adnan
DIGITAL TECHNOLOGY DIRECTOR
Risman Adnan received the B.Sc. and the M.Sc. in theoretical physics, and the Ph.D. degrees in computer science from Universitas Indonesia, in 1998, 2000, and 2021, respectively. Starting in 2004, he spent ten years as the Director of the Developer Ecosystem at Microsoft Indonesia. He joined Samsung Research and Development Indonesia (SRIN), as the Chief Technology Officer to incubate and nurture AI, IoT, and Cloud technology competencies, in 2014. 

He joined Kalbe Digital Lab as the Digital Technology Director in 2023. His research interests include theoretical physics, machine learning, and quantum computing.
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