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Kale-ab Tessera
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Informal and Other Publications
- 2023
- [i8]Claude Formanek, Callum Rhys Tilbury, Jonathan P. Shock, Kale-ab Tessera, Arnu Pretorius:
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. CoRR abs/2304.00977 (2023) - [i7]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 abs/2311.17371 (2023) - [i6]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 abs/2311.18598 (2023) - [i5]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 abs/2312.08463 (2023) - [i4]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 abs/2312.08466 (2023) - 2021
- [i3]Kale-ab Tessera, Sara Hooker, Benjamin Rosman:
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. CoRR abs/2102.01670 (2021) - [i2]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:
Mava: a research framework for distributed multi-agent reinforcement learning. CoRR abs/2107.01460 (2021) - [i1]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 abs/2111.03904 (2021)
Coauthor Index
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