AI: Robotics & AI
Reinforcement learning | Sri AI
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Course overview
Agents that learn by trial and reward, from simple games to robot control.
Level: Advanced · Mode: Evenings, online
Who this course is for
Engineers and researchers in robotics, games and optimisation.
What you will learn
- Explain the core RL algorithms
- Train agents in simulated environments
- Apply deep RL to control problems
- Recognise when RL is the wrong tool
Syllabus
- Module 1: Rewards and policies
- Module 2: Q-learning
- Module 3: Deep Q-networks
- Module 4: Policy gradients
- Module 5: PPO
- Module 6: RL for robotics
Final project
Every module ends in hands-on practice, and the course ends with a project you build and present. Your certificate names that project.
Before you start
Deep learning.
Open-source tools you will use
Adapts the Hugging Face Deep RL Course (Apache-2.0).