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)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Vincent Coyette; Paul Duckworth; Laurence I. Midgley; Tristan Kalloniatis; Sasha Abramowitz; Cemlyn N. Waters; Andries P. Smit; Nathan Grinsztajn; et al. (CoRR, 2023)

Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. - Andries P. Smit; Paul Duckworth; Nathan Grinsztajn; Kale-ab Abebe Tessera; Thomas D. Barrett; Arnu Pretorius (CoRR, 2023)

Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football. - Andries P. Smit; Herman A. Engelbrecht; Willie Brink; Arnu Pretorius (Auton. Agents Multi Agent Syst., 2023)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - Clément Bonnet; Daniel Luo; Donal Byrne; Shikha Surana; Sasha Abramowitz; Paul Duckworth; Vincent Coyette; Laurence Illing Midgley; Elshadai Tegegn; Tristan Kalloniatis; Omayma Mahjoub; Matthew Macfarlane; et al. (ICLR, 2024)

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs. - Andries P. Smit; Nathan Grinsztajn; Paul Duckworth; Thomas D. Barrett; Arnu Pretorius (ICML, 2024)

Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets. - Ulrich A. Mbou Sob; Qiulin Li; Miguel Arbesú; Oliver Bent; Andries P. Smit; Arnu Pretorius (CoRR, 2024)