The RAIL Lab, established in 2014, is dedicated to conducting cutting-edge research in the field of artificially intelligent systems. With a focus on both fundamental and applied research, our vision is to serve as a prominent centre of excellence and a hub for AI activities in Africa. We aim to make significant contributions to the field of AI while also applying our findings to benefit society at large.
This paper presents the Esethu Framework, a sustainable data curation framework specifically designed to empower local communities and …
Effective decision-making in complex environments with multi-discrete action spaces poses significant challenges for agent …
Skill composition is a growing area of interest within Reinforcement Learning (RL) research. For example, if designing a robot for …
In spite of finite dimension ReLU neural networks being a consistent factor behind recent deep learning successes, a theory of feature …
An important property of long-lived agents is the ability to reuse existing knowledge to solve new tasks. An appealing approach towards …
Language provides one of the primary examples of human’s ability to systematically generalize — reasoning about new …