Mava: a research framework for distributed multi-agent reinforcement learning. - Arnu Pretorius; Kale-ab Abebe Tessera; Andries P. Smit; Claude Formanek; St John Grimbly; Kevin Eloff; Siphelele Danisa; Lawrence Francis; Jonathan P. Shock; Herman Kamper; Willie Brink; Herman A. Engelbrecht; et al. (CoRR, 2021)

Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus. - Tejumade Afonja; Oladimeji Mudele; Iroro Orife; Kenechi Dukor; Lawrence Francis; Duru Goodness; Oluwafemi Azeez; Ademola Malomo; Clinton Mbataku (CoRR, 2021)

QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling. - Blessed Guda; Gabrial Zencha Ashungafac; Lawrence Francis; Carlee Joe-Wong (GLOBECOM (Workshops), 2024)

Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning. - Lawrence Francis; Blessed Guda; Ahmed Biyabani (CoRR, 2024)