Robots & AI? 🤖
Incredibly cool, but you have to learn reinforcement learning.
These 3 top courses take you from beginner to research.
Learn how computers think and robots learn, exploring new environments! 🦾
(With a bonus applied course in the making!)
Intro to Game AI and RL
by Kaggle
Start with the basics in an applied course in Python.
This course teaches game AI and classic reinforcement learning in an interactive environment.
- Game AI
- Look-Ahead Agents
- Deep Reinforcement Learning
UCL Course on RL
by David Silver
The most recommended course on reinforcement learning.
Silver is the RL lead in Deepmind and teaches
- Decision processes
- Control
- Policy Gradients
- Exploration vs Exploitation
and much more.
Watch the lectures and slides here
Deep RL Bootcamp
by UC Berkeley
Combining the RL knowledge of the likes of Pieter Abbeel, Karpathy & John Schulman, covering:
- Deep Q-Learning
- Pong from Pixels
- Model-free & -based RL
- Policy Optimization
& tons more including recent research.
Deep Reinforcement Learning Class
by Hugging Face
This is just being released so this is sort of a bonus mention.
But I love the depth paired with the applied nature.
- Deep Q Learning
- Policy Optimization
- Decision Transformers
and again so much more!
Watch the first classes and development go on
Conclusion
From intro to recent research, from Deepmind to Openai, these courses cover it all:
- Intro to Game AI and RL
- UCL Course on RL
- Deep RL Bootcamp
- Huggingface RL Class
Step in where it’s appropriate for you and teach robots by the end of it.