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.
It is desirable for an agent to be able to solve a rich variety of problems that can be specified through language in the same …
The Reinforcement Learning (RL) framework offers a general paradigm for constructing autonomous agents that can make effective …
We present counting reward automata—a finite state machine variant capable of modelling any reward function expressible as a …
Financial inclusion ensures that individuals have access to financial products and services that meet their needs. As a key …
Reinforcement learning (RL) has recently made several significant advances using video games as a testbed. While many of these games …
While reinforcement learning has achieved remarkable successes in several domains, its real-world application is limited due to many …