Kale-ab Tessera
Kale-ab Tessera
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Efficiently Quantifying Individual Agent Importance in Cooperative MARL
Measuring the contribution of individual agents is challenging in cooperative multi-agent reinforcement learning (MARL). In cooperative …
Omayma Mahjoub
,
Ruan John de Kock
,
Siddarth Singh
,
Wiem Khlifi
,
Abidine Vall
,
Kale-ab Tessera
,
Rihab Gorsane
,
Arnu Pretorius
PDF
How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
Establishing sound experimental standards and rigour is important in any growing field of research. Deep Multi-Agent Reinforcement …
Siddarth Singh
,
Omayma Mahjoub
,
Ruan John de Kock
,
Wiem Khlifi
,
Abidine Vall
,
Kale-ab Tessera
,
Arnu Pretorius
PDF
Generalisable Agents for Neural Network Optimisation
We train RL agents (an agent per layer) on simple supervised settings to learn to improve optimisation by taking actions, like adapting the learning rate, and then generalise to more resource-intensive supervised learning tasks.
Kale-ab Tessera
,
Callum Tilbury
,
Sasha Abramowitz
,
Ruan de Kock
,
Omayma Mahjoub
,
Benjamin Rosman
,
Sara Hooker
,
Arnu Pretorius
PDF
Poster
Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A
Recent advancements in large language models (LLMs) underscore their potential for responding to medical inquiries. However, ensuring …
Andries Smit
,
Paul Duckworth
,
Nathan Grinsztajn
,
Kale-ab Tessera
,
Thomas Barrett
,
Arnu Pretorius
PDF
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning
Reincarnation in reinforcement learning has been proposed as a formalisation of reusing prior computation from past experiments when …
Claude Formanek
,
Callum Rhys Tilbury
,
Jonathan Shock
,
Kale-ab Tessera
,
Arnu Pretorius
PDF
Just-in-Time Sparsity: Learning Dynamic Sparsity Schedules
Sparse neural networks have various benefits such as better efficiency and faster training and inference times, while maintaining the …
Kale-ab Tessera
,
Chiratidzo Matowe
,
Arnu Pretorius
,
Benjamin Rosman
,
Sara Hooker
PDF
Poster
Slides
On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa
Desert locust outbreaks threaten the food security of a large part of Africa and have affected the livelihoods of millions of people …
Ibrahim Salihu Yusuf
,
Kale-ab Tessera
,
Thomas Tumiel
,
Zohra Slim
,
Amine Kerkeni
,
Sella Nevo
,
Arnu Pretorius
PDF
Cite
Code
Blog
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization
We use gradient flow to study sparse network optimization.
Kale-ab Tessera
,
Sara Hooker
,
Benjamin Rosman
PDF
Cite
Poster
Slides
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