Kale-ab Abebe Tessera

According to our database, Kale-ab Abebe Tessera authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Remembering the Markov Property in Cooperative MARL.

Kale-ab Abebe Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey

CoRR, July, 2025

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

CoRR, February, 2025

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, Harshad Khadilkar, Stefano V. Albrecht

CoRR, 2024

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL.

Kale-ab Abebe Tessera, Arrasy Rahman, Stefano V. Albrecht

CoRR, 2024

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

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

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

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

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

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

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, Alexandre Laterre, Karim Beguir

CoRR, 2021

Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization.

Kale-ab Abebe Tessera, Sara Hooker, Benjamin Rosman

CoRR, 2021