Reinforcement Learning with OpenAI Gym
summary
An introduction to reinforcement learning covering its definition, how it differs from supervised and unsupervised learning, and motivating applications. Demonstrates OpenAI Gym with examples run in Google Colab and discusses benchmark problems and environments for comparing approaches. Reviews practical considerations, limitations, and key points to keep in mind when applying reinforcement learning to a project, then concludes with takeaways and questions.
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chapters (8)
- 0:00RL motivation
- 5:23Supervised vs reinforcement learning
- 10:39RL applications
- 15:32Reproducibility in RL
- 20:20OpenAI Gym intro
- 22:08Exploring Gym environments
- 27:15Q-Learning variants
- 30:05Practical RL implementation
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