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Congrats on finishing the project! As you've already linked at the bottom of your post, it's possible that OpenAI could've solved most of your I/O issues. One
by adyus 10y ago
Congrats on finishing the project! As you've already linked at the bottom of your post, it's possible that OpenAI could've solved most of your I/O issues.
One thing I'd suggest is exploring a reward function, instead of using only pre-recorded training data. That is, give the AI a goal to complete (in this case, finish the race) and let it learn by itself!
- Drdrdrq 10y agoI would love to learn how to do that - any suggestions? EDIT: to clarify: what should I google for?
- paulbaumgart 10y agoReinforcement Learning. Here's a good intro: http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
- adyus 10y agoHere's what I could find in a couple minutes: https://github.com/openai/universe-starter-agent https://github.com/openai/universe-starter-agent OpenAI's example universe agent. Remember that while their goal is an agent that works in any and all environments (read: games), you could certainly optimize yours just for MarioKart.
- Drdrdrq 10y agoThanks, looks promising! Can't wait to try it! :)