Kale-ab Abebe Tessera

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fairness over Equality: Correcting Social Incentives in Asymmetric Sequential Social Dilemmas. CoRR Alper Demir, Hüseyin Aydin, Kale-ab Abebe Tessera, David Abel, Stefano V. Albrecht
2026	J	`jnl`	Probing Dec-POMDP Reasoning in Cooperative MARL. CoRR Kale-ab Abebe Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos J. Storkey
2025	J	`jnl`	Remembering the Markov Property in Cooperative MARL. CoRR Kale-ab Abebe Tessera, Leonard Hinckeldey, Riccardo Zamboni, David Abel, Amos Storkey
2025	J	`jnl`	TAR CoRR Aditya Kapoor, Kale-ab Abebe Tessera, Mayank Baranwal, Harshad Khadilkar, Stefano V. Albrecht, Limin Sun
2024	J	`jnl`	Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. CoRR Aditya Kapoor, Sushant Swamy, Kale-ab Abebe Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V. Albrecht
2024	J	`jnl`	HyperMARL: Adaptive Hypernetworks for Multi-Agent RL. CoRR Kale-ab Abebe Tessera, Arrasy Rahman, Stefano V. Albrecht
2023	J	`jnl`	Are we going MAD? Benchmarking Multi-Agent Debate between Language Models for Medical Q&A. CoRR Andries P. Smit, Paul Duckworth, Nathan Grinsztajn, Kale-ab Abebe Tessera, Thomas D. Barrett, Arnu Pretorius
2023	J	`jnl`	Efficiently Quantifying Individual Agent Importance in Cooperative MARL. CoRR Omayma Mahjoub, Ruan de Kock, Siddarth Singh, Wiem Khlifi, Abidine Vall, Kale-ab Abebe Tessera, Arnu Pretorius
2023	J	`jnl`	Generalisable Agents for Neural Network Optimisation. CoRR Kale-ab Abebe Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius
2023	J	`jnl`	How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning. CoRR Siddarth Singh, Omayma Mahjoub, Ruan de Kock, Wiem Khlifi, Abidine Vall, Kale-ab Abebe Tessera, Arnu Pretorius
2023	J	`jnl`	Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning. CoRR Claude Formanek, Callum Rhys Tilbury, Jonathan Shock, Kale-ab Abebe Tessera, Arnu Pretorius
2021	J	`jnl`	Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. CoRR Kale-ab Abebe Tessera, Sara Hooker, Benjamin Rosman
2021	J	`jnl`	On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa. CoRR Ibrahim Salihu Yusuf, Kale-ab Abebe Tessera, Thomas Tumiel, Sella Nevo, Arnu Pretorius