Learn Backend Development Part-Time, Online
Build GenAI Apps from Scratch — UCSB PaCE Certificate Program
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore OpenAI environments and their applications in reinforcement learning through this informative lecture. Gain insights into Jim environments, robotics environments, and the Retro Contest. Learn about basic code implementation, building custom environments, and Ford reinforcement learning. Delve into reward functions, including sparse rewards, and examine practical examples to enhance your understanding of OpenAI's powerful tools for AI research and development.
Syllabus
Introduction
What is OpenAI
Jim Environments
Robotics Environments
Retro Contest
Basic Code
Building Your Environment
Ford Reinforcement Learning
Reward Functions
Sparse Rewards
Example
Taught by
Pascal Poupart