Premise selection is a fundamental problem of automated theorem proving....
Inferring causal structure from data is a challenging task of fundamenta...
The ability of continual learning systems to transfer knowledge from
pre...
Complex reasoning problems contain states that vary in the computational...
The growth of deep reinforcement learning (RL) has brought multiple exci...
Communication is compositional if complex signals can be represented as ...
Humans excel in solving complex reasoning tasks through a mental process...
Continual learning (CL) – the ability to continuously learn, building on...
We propose a reinforcement learning framework for discrete environments ...
This paper explores a novel approach to achieving emergent compositional...