Badger architecture is the unifying framework for our research defined by its key principle modular life-long learning.
The modular aspect is expressed in the architecture through a network of identical agents. The life-long learning means that the network will be capable of adapting to a growing (open-ended) range of new and unseen tasks while being able to reuse knowledge acquired in previous tasks. The algorithm that is run by individual Badger modules (a.k.a. experts) will be discovered through meta-learning.
We expect the design principles of Badger architecture to be its key advantages. The modular approach should enable scaling beyond what is possible for a monolithic system and the focus on life-long learning will allow for incremental, piece-wise learning, driving down the demand for training data.
State of Badger
Below you can find a taster of some of our latest work.