Kale-ab Tessera
Kale-ab Tessera
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Reinforcement Learning
Mava: a research framework for distributed multi-agent reinforcement learning
A framework for MARL, written in JAX.
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Blog
Deep Learning Indaba Practicals 2022
A collection of high-quality practicals covering a variety of modern machine learning techniques.
Code
Just-in-Time Sparsity: Learning Dynamic Sparsity Schedules
Sparse neural networks have various benefits such as better efficiency and faster training and inference times, while maintaining the …
Kale-ab Tessera
,
Chiratidzo Matowe
,
Arnu Pretorius
,
Benjamin Rosman
,
Sara Hooker
PDF
Poster
Slides
Mava: a research framework for distributed multi-agent reinforcement learning
Breakthrough advances in reinforcement learning (RL) research have led to a surge in the development and application of RL. To support …
Arnu Pretorius
,
Kale-ab Tessera
,
Andries P. Smit
,
Claude Formanek
,
St John Grimbly
,
Kevin Eloff
,
Siphelele Danisa
,
Lawrence Francis
,
Jonathan Shock
,
Herman Kamper
,
Willie Brink
,
Herman Engelbrecht
,
Alexandre Laterre
,
Karim Beguir
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Cite
Code
Blog
DQN Agent playing Pong
A DQN agent playing pong.
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