Sasha Abramowitz

According to our database, Sasha Abramowitz authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Generalisable Agents for Neural Network Optimisation.

Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius

CoRR, 2023

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

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

CoRR, 2023

2022

Scalable evolutionary hierarchical reinforcement learning.

Sasha Abramowitz, Geoff Nitschke

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Towards Run-time Efficient Hierarchical Reinforcement Learning.

Sasha Abramowitz, Geoff Nitschke

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2020

Efficiently Coevolving Deep Neural Networks and Data Augmentations.

Shane Acton, Sasha Abramowitz, Liron Toledo, Geoff Nitschke

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020