We present an architecture that is effective for continual learning in a...
In this paper, we propose a multi-timescale replay (MTR) buffer for impr...
With a view to bridging the gap between deep learning and symbolic AI, w...
We propose a method for tackling catastrophic forgetting in deep
reinfor...
Unlike humans, who are capable of continual learning over their lifetime...
The problem of sparse rewards is one of the hardest challenges in
contem...