How to Train Your Robot - An Introduction to Reinforcement Learning
Explore an introduction to reinforcement learning in this 30-minute conference talk from ODSC East 2020. Dive into the world of training robots through a subset of machine learning, presented by Craig Buhr, PhD, Engineering Manager at MathWorks. Learn about reinforcement learning applications, control goals, and the differences between traditional and alternative approaches to robot control. Discover key terminology, workflow, and the importance of simulated environments in the reinforcement learning process. Gain insights into defining rewards, creating actor-critic networks, and designing effective agents. Understand the significance of reward function design and shaping for improved learning outcomes. Finally, explore the deployment of trained policies to target hardware platforms, bridging the gap between simulation and real-world applications.