We recently organized an internal workshop with a number of external collaborators to advance the progress of various challenging topics related to the Badger architecture. In this post, we would like to share the outcomes of sessions.
Read more
Currently, we are experimenting with an experimental setup proposed in our Badger paper. One of the areas of explorations is an evaluation of suitability of various training settings: supervised learning, Deep Reinforcement Learning (RL), and evolutionary optimization.
Read more
This guide shows how to use Pytorch’s C++ API to use neural networks in Unity. We can use this with existing Python-based models, by freezing the execution trace into a binary file that is loaded by the library at runtime.
Read more
At GoodAI, we’re interested in multi-agent architectures that can learn to rapidly adapt to new and unseen environments we expect the behavior and adaptation to be learned through communication of homogeneous units inside a single agent, allowing for better generalization.
Read more
The idea of the Badger architecture is to make a learning agent with increased generality by virtue of allowing task-specific learning to occur in the activations of an extensible pool of ‘experts’ who all share the same weights.
Read more
GoodAI has publically released the Badger Architecture which is the culmination of five years of work at GoodAI. Find out more about it and read the paper.
Read moreAre you keen on making a meaningful impact? Interested in joining the GoodAI team?
