Description
It is a modern training program that combines deep learning and reinforcement learning methods to improve the learning and decision-making capabilities of artificial intelligence. This course is designed for professionals and researchers who want to understand how AI systems can autonomously learn and act on complex problems.
About Training
Basic principles and application areas of reinforcement learning.
Model-based and model-free deep reinforcement learning methods.
Learning techniques and transfer learning methods from offline datasets.
Target conditional RL, meta-RL, multitask learning applications with unsupervised skill discovery.
Who Should Receive the Training?
- Experts in artificial intelligence, machine learning and data science.
- Researchers and academics.
- Professionals working in fields such as robotics, autonomous vehicles, game development and finance.
- Software engineers who want to gain theoretical knowledge and practical skills in RL.
As this is an advanced AI course, participants are expected to have basic Python programming knowledge and a basic understanding of machine learning/deep learning.
Plan this training for your business!
This training can be planned in different durations and content specific to your organization. Please contact us for detailed rich content and planning to realize your training objectives.
