Sasha Abramowitz

13 papers A* 2A 1B 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Breaking the Performance Ceiling in Complex Reinforcement Learning requires Inference Strategies. CoRR Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan de Kock, Claude Formanek, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Simon du Toit, Louay Ben Nessir, Refiloe Shabe, Arnol Fokam, Siddarth Singh, Ulrich A. Mbou Sob, Arnu Pretorius
2025	A	`conf`	Multi-Agent Reinforcement Learning with Selective State-Space Models. AAMAS Jemma Daniel, Ruan John de Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Juan Claude Formanek, Arnu Pretorius
2025	J	`jnl`	Oryx: a Performant and Scalable Algorithm for Many-Agent Coordination in Offline MARL. CoRR Claude Formanek, Omayma Mahjoub, Louay Ben Nessir, Sasha Abramowitz, Ruan de Kock, Wiem Khlifi, Simon du Toit, Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Arnol Fokam, Siddarth Singh, Ulrich A. Mbou Sob, Arnu Pretorius
2025	A*	`conf`	Sable: a Performant, Efficient and Scalable Sequence Model for MARL. ICML Omayma Mahjoub, Sasha Abramowitz, Ruan John de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Juan Claude Formanek, Liam Clark, Arnu Pretorius
2024	A*	`conf`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
2024	J	`jnl`	Multi-Agent Reinforcement Learning with Selective State-Space Models. CoRR Jemma Daniel, Ruan de Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Claude Formanek, Arnu Pretorius
2024	J	`jnl`	Performant, Memory Efficient and Scalable Multi-Agent Reinforcement Learning. CoRR Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock, Wiem Khlifi, Simon du Toit, Jemma Daniel, Louay Ben Nessir, Louise Beyers, Claude Formanek, Liam Clark, 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`	Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
2022	—	`conf`	Scalable evolutionary hierarchical reinforcement learning. GECCO Companion Sasha Abramowitz, Geoff Nitschke
2022	B	`conf`	Towards Run-time Efficient Hierarchical Reinforcement Learning. CEC Sasha Abramowitz, Geoff Nitschke
2021	J	`jnl`	Mava: a research library for distributed multi-agent reinforcement learning in JAX. CoRR Ruan de Kock, Omayma Mahjoub, Sasha Abramowitz, Wiem Khlifi, Callum Rhys Tilbury, Claude Formanek, Andries P. Smit, Arnu Pretorius
2020	—	`conf`	Efficiently Coevolving Deep Neural Networks and Data Augmentations. SSCI Shane Acton, Sasha Abramowitz, Liron Toledo, Geoff Nitschke