Machine learning in which an agent learns by trial and error, rewarded for good actions. It trained AlphaGo and helps fine-tune chatbots.
Now, the next piece of tech is we say, let's have a person describe what face they wanted to make, and then have a person rate how artistically appealing they found the face that it made, and train it with reinforcement learning as well as the generative criterion. At that point, I'm now like, this is pretty similar to how a human artist learns from an art teacher.
Ian Goodfellow, Ian Goodfellow on Inventing GANs
This was largely inspired by Cortical Lab’s DishBrain Pong project, which specifically trained living neurons to play pong via reinforcement learning. DishBrain’s performance was then benchmarked against other RL algorithms.
Jenn Leung, Embodying AI at NeurIPS 2025: Creative AI Track