7 citations · 21 across the 8 of their papers we have counts for
4 papers · 1 filter
Learning Hierarchical Relational Representations through Relational Convolutions
Awni Altabaa, John Lafferty
An evolving area of research in deep learning is the study of architectures and inductive biases that support the learning of relational feature representations. In this paper, we…
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction
Taylor W. Webb, Steven M. Frankland, Awni Altabaa +9
A central challenge for cognitive science is to explain how abstract concepts are acquired from limited experience. This has often been framed in terms of a dichotomy between conne…
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
Awni Altabaa, Taylor Webb, Jonathan Cohen +1
An extension of Transformers is proposed that enables explicit relational reasoning through a novel module called the Abstractor. At the core of the Abstractor is a variant of atte…
Decentralized Multi-Agent Reinforcement Learning for Continuous-Space Stochastic Games
Awni Altabaa, Bora Yongacoglu, Serdar Yüksel
Stochastic games are a popular framework for studying multi-agent reinforcement learning (MARL). Recent advances in MARL have focused primarily on games with finitely many states.…