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 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.