Charts



Although the results show that I was able to teach the model something, this does not mean that the model can discover things that do not exist, or that the hypotheses it discovers will work 100 per cent in the real world or are physically correct. However, using a novelty checker, extra points were awarded in the reward function for physical hypotheses that the model had not yet discovered, thereby encouraging the model to generate new hypotheses.
This repository contains only the c250 (the model saved at step 250). If you wish to access and try out the other models, you can find them in the project files at https://oguzyesil.dev.