Andries P. Smit

According to our database, Andries P. Smit authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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., June, 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 Tessera, Thomas D. Barrett, Arnu Pretorius

CoRR, 2023

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, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre

CoRR, 2023

2021

Mava: a research framework for distributed multi-agent reinforcement learning.

Arnu Pretorius, Kale-ab 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, Alexandre Laterre, Karim Beguir

CoRR, 2021