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The goal of control
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Classroom Contents
How to Train Your Robot - An Introduction to Reinforcement Learning
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- 1 Intro
- 2 Reinforcement Learning. A Subset of Machine Learning
- 3 Reinforcement Learning Applications
- 4 The goal of control
- 5 A walking robot - a traditional controls approach
- 6 A walking robot-an alternative approach
- 7 What is Reinforcement Learning?
- 8 Some Reinforcement Learning Terminology
- 9 Reinforcement Learning Workflow
- 10 Real vs Simulated Environments
- 11 Define Simulated Environment
- 12 Defining the Reward
- 13 Actor-Critic Training Cycle
- 14 Creating the Agent
- 15 Create Critic Network
- 16 Create Actor Network
- 17 Defining the Agent
- 18 Training our Deep Reinforcement Learning Agent
- 19 Training the Agent
- 20 Reward Function Design Matters
- 21 Reward Shaping to Improve Learning
- 22 Deploy policy to the target hardware
- 23 Policy Deployment to Hardware Platforms
