We introduce a value-based RL agent, which we call BBF, that achieves
su...
Learning tabula rasa, that is without any prior knowledge, is the preval...
This work identifies a common flaw of deep reinforcement learning (RL)
a...
We introduce Simplicial Embeddings (SEMs) as a way to constrain the enco...
Deep reinforcement learning (RL) algorithms are predominantly evaluated ...
Data efficiency is a key challenge for deep reinforcement learning. We
a...
Although neural module networks have an architectural bias towards
compo...
While deep reinforcement learning excels at solving tasks where large am...
Shannon's seminal theory of information has been of paramount importance...
Understanding dynamic fracture propagation is essential to predicting ho...