Kale-ab Tessera

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Term Dependencies

Reinforcement Learning

Top Venues

Publications

Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab Tessera, Arnu Pretorius
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. CoRR (2023)
Andries P. Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Tessera, Thomas D. Barrett, Arnu Pretorius
Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. CoRR (2023)
Siddarth Singh, Omayma Mahjoub, Ruan de Kock, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Arnu Pretorius
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning. CoRR (2023)
Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius
Generalisable Agents for Neural Network Optimisation. CoRR (2023)
Omayma Mahjoub, Ruan de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Tessera, Arnu Pretorius
Efficiently Quantifying Individual Agent Importance in Cooperative MARL. CoRR (2023)
Arnu Pretorius, Kale-ab Tessera, Andries P. Smit, Claude Formanek, St John Grimbly, Kevin Eloff, Siphelele Danisa, Lawrence Francis, Jonathan Shock, Herman Kamper, Willie Brink, Herman A. Engelbrecht, Alexandre Laterre, Karim Beguir
Mava: a research framework for distributed multi-agent reinforcement learning. CoRR (2021)
Ibrahim Salihu Yusuf, Kale-ab Tessera, Thomas Tumiel, Sella Nevo, Arnu Pretorius
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa. CoRR (2021)
Kale-ab Tessera, Sara Hooker, Benjamin Rosman
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. CoRR (2021)