Deep Reinforcement Learning Course
Gain mastery in deep reinforcement learning for practical robotics applications. This course covers sim-to-real transfer methods, safe control strategies, reward engineering, and reliable policies with cutting-edge DRL algorithms. Tailored for engineers and tech experts implementing smart systems in factory environments, it equips you to deploy intelligent robotic solutions effectively.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Deep Reinforcement Learning Course offers a hands-on approach to creating and implementing strong RL policies for advanced robotic systems. Participants will build simulated setups, craft reward functions, select key algorithms such as SAC, PPO, and TD3, and develop vision and sensor integration systems. The training emphasises safety protocols, sim-to-real adaptation, performance tracking, and complete evaluation and deployment processes.
Elevify advantages
Develop skills
- Design RL tasks for robots by defining states, actions, rewards, and safety measures.
- Build strong sim-to-real pipelines using domain randomisation and close monitoring.
- Create rewards and penalties to promote safe and efficient robot operations.
- Choose and adjust DRL algorithms like PPO, SAC, and TD3 for steady robot control.
- Set up sensors and state fusion for dependable perception in factory settings.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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