Since the last post we have been performing tons of experiments with various improvements to the dual-encoder setup.
Most didn't work, but some made it into the upcoming version of AOgmaNeo.
Importantly, there is now a guide
in the AOgmaNeo repository, that provides a brief overview of what AOgmaNeo is and what it does.
It doesn't have code usage yet though, instead it is describes the algorithm. For code usage, the examples are still the main resource at the moment.
We also trained reinforcement learning (RL) agents in the DonkeyCar simulator (Website
), which drove around the track ...
Read More →