AI standing still

The testmodel and testmap works great. Now I am experimenting with training my own model on my own map. I have recorded a reward function using the command and when running python -m tmrl --check-environment I can se that the reward increases when I drive faster along the path of my map so I think that is working.

However when I start the server, worker and trainer it always seem to prefer staying still and not giving any inputs. It might try driving a bit forward on the first run but then it just stays. The virtual controller is working since if I give it a push by pressing forwards it will steer.

Do you have any clue what I might be missing.

I tried renaming the SAC_4_LIDAR_pretrained and weights in case it used some old data in case I accidentally trained it to stand still. But I got the same result.

Thank you so much for your dedication on this amazing project 🙏

[yannbouteiller]

Better than that, your statistics should get automatically logged to wandb.ai

By default they are logged on the public tmrl project at https://wandb.ai/tmrl/tmrl but you can create an account on their website and put your API key / project name in config.json

[3DJakob]

Amazing thank you!