[cweill]

The Deepmind lead behind AlphaStar, there StarCraft 2 bot that beat several world champs, once said, "the best way to solve a reinforcement learning problem is with supervised learning". That's because supervised learning is relatively extremely efficient, and just RL with more constraints.

Just start learning the basics of supervised learning for classification and regression on common benchmark tasks like CIFAR and UCI. Apply a mix of linear models, neural networks, and trees like random forests and GBDTs. Next try convolutional networks for vision and transformers for NLP. You'll be all set to solve most real world problems.

[venividivini]

I've been working on imitation learning recently and can attest that reducing RL to supervised learning gives remarkable results, even when using naive algorithms (like Behavioral Cloning).

That's an excellent quote by the way, do you perhaps have any source? Sounds like a good opener slide :)