Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. - Kale-ab Abebe Tessera; Sara Hooker; Benjamin Rosman (CoRR, 2021)

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)

On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa. - Ibrahim Salihu Yusuf; Kale-ab Abebe Tessera; Thomas Tumiel; Sella Nevo; Arnu Pretorius (CoRR, 2021)

Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning. - Claude Formanek; Callum Rhys Tilbury; Jonathan P. Shock; Kale-ab Abebe Tessera; Arnu Pretorius (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)

Generalisable Agents for Neural Network Optimisation. - Kale-ab Abebe Tessera; Callum Rhys Tilbury; Sasha Abramowitz; Ruan de Kock; Omayma Mahjoub; Benjamin Rosman; Sara Hooker; Arnu Pretorius (CoRR, 2023)

How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning. - Siddarth Singh; Omayma Mahjoub; Ruan de Kock; Wiem Khlifi; Abidine Vall; Kale-ab Abebe Tessera; Arnu Pretorius (CoRR, 2023)

Efficiently Quantifying Individual Agent Importance in Cooperative MARL. - Omayma Mahjoub; Ruan de Kock; Siddarth Singh; Wiem Khlifi; Abidine Vall; Kale-ab Abebe Tessera; Arnu Pretorius (CoRR, 2023)

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL. - Kale-ab Abebe Tessera; Arrasy Rahman; Stefano V. Albrecht (CoRR, 2024)

Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. - Aditya Kapoor; Sushant Swamy; Kale-ab Abebe Tessera; Mayank Baranwal; Mingfei Sun 001; Harshad Khadilkar; Stefano V. Albrecht (CoRR, 2024)

TAR2: Temporal-Agent Reward Redistribution for Optimal Policy Preservation in Multi-Agent Reinforcement Learning. - Aditya Kapoor; Kale-ab Abebe Tessera; Mayank Baranwal; Harshad Khadilkar; Stefano V. Albrecht; Limin Sun 001 (CoRR, 2025)

Remembering the Markov Property in Cooperative MARL. - Kale-ab Abebe Tessera; Leonard Hinckeldey; Riccardo Zamboni; David Abel; Amos Storkey (CoRR, 2025)