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Sasha Abramowitz
Observed name:
Abramowitz, Sasha
Institution:
Stellenbosch University
Observed institutions:
University of Cape Town,
Stellenbosch University
OpenAlex ID:
A5036841115
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
2023
·
Bonnet, Clément
, Luo, Daniel
, et al.
·
arXiv (Cornell University)
·
4
PDF
Multi-Agent Reinforcement Learning with Selective State-Space Models
2025
·
Jemma Daniel
, Ruan John de Kock
, et al.
·
Adaptive Agents and Multi-Agents Systems
·
3
PDF
Scalable evolutionary hierarchical reinforcement learning
2022
·
Sasha Abramowitz
, Geoff Nitschke
·
Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
·
3
Mava: a research library for distributed multi-agent reinforcement learning in JAX
2021
·
de Kock, Ruan
, Mahjoub, Omayma
, et al.
·
arXiv (Cornell University)
·
3
PDF
Towards Run-time Efficient Hierarchical Reinforcement Learning
2022
·
Sasha Abramowitz
, Geoff Nitschke
·
IEEE Congress on Evolutionary Computation (CEC)
·
2
Efficiently Coevolving Deep Neural Networks and Data Augmentations
2020
·
Shane Acton
, Sasha Abramowitz
, et al.
·
IEEE Symposium Series on Computational Intelligence (SSCI)
·
2
Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning
2026
·
Hidaoui, Oussama
, Ebead, Omer
, et al.
·
arXiv (Cornell University)
PDF
Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
2026
·
Osman, Asim
, Abramowitz, Sasha
, et al.
·
arXiv (Cornell University)
PDF
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
2025
·
Juan Formanek
, Omayma Mahjoub
, et al.
·
neural information processing systems
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
2025
·
Felix Chalumeau
, Daniel Rajaonarivonivelomanantsoa
, et al.
·
neural information processing systems
PDF
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
2024
·
Mahjoub, Omayma
, Abramowitz, Sasha
, et al.
·
arXiv (Cornell University)
PDF
Generalisable Agents for Neural Network Optimisation
2023
·
Tessera, Kale-ab
, Tilbury, Callum Rhys
, et al.
·
arXiv (Cornell University)
PDF
MDOCS Newsletter-2015-03-06, 1.9
2015
·
Jordana Dym
, Sam Grant
, et al.
·
Creative Matter (Skidmore College)
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Works count:
15
Citation count:
17
H-index:
3
I10-index:
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