Deep Reinforcement Learning: Pong from Pixels (2016)(karpathy.github.io)
karpathy.github.io
Deep Reinforcement Learning: Pong from Pixels (2016)
http://karpathy.github.io/2016/05/31/rl/
9 comments
meh, u can still do that.
only difference is u have to explain the difference between your ML thing and the gen. AI hypetrain bullshit, every time.
only difference is u have to explain the difference between your ML thing and the gen. AI hypetrain bullshit, every time.
>the gen. AI hypetrain bullshit
I seriously can't understand this take at all. Its like people going on and on about how much better horse drawn carriages are compared to cars.
I seriously can't understand this take at all. Its like people going on and on about how much better horse drawn carriages are compared to cars.
Here are some contemporary links for those looking to learn more about reinforcement learning:
- Reinforcement Learning Discussion on Discord, https://discord.com/invite/5nDB9dzZvp
- /r/reinforcementlearning, https://www.reddit.com/r/reinforcementlearning/
- CS285, Deep Reinforcement Learning course at Berkeley, https://rail.eecs.berkeley.edu/deeprlcourse/
And this was probably posted here before, but it's fun nonetheless: Gran Turismo played by an RL agent, https://www.gran-turismo.com/us/gran-turismo-sophy/
Edit: and there's this "blog" that gives some very practical advice for beginners: https://www.decisionsanddragons.com/
- Reinforcement Learning Discussion on Discord, https://discord.com/invite/5nDB9dzZvp
- /r/reinforcementlearning, https://www.reddit.com/r/reinforcementlearning/
- CS285, Deep Reinforcement Learning course at Berkeley, https://rail.eecs.berkeley.edu/deeprlcourse/
And this was probably posted here before, but it's fun nonetheless: Gran Turismo played by an RL agent, https://www.gran-turismo.com/us/gran-turismo-sophy/
Edit: and there's this "blog" that gives some very practical advice for beginners: https://www.decisionsanddragons.com/
Compare also GAN Theft Auto: https://github.com/Sentdex/GANTheftAuto
Andrej just posted a video yesterday about LLMs and commented on the YC post for it: https://news.ycombinator.com/item?id=42952960
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I remember I doing a project in my second bachelor semester, where I generated random 64x64 images of a simple maze with a start and finish and then I tried to train a RNN algorithm that could navigate unseen mazes. There are so many better ways and algorithms to do it, but I learned a lot of cool tech anyway with this approach.