Reinforcement Learning

Mava: a research framework for distributed multi-agent reinforcement learning
A framework for MARL, written in JAX.
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Mava: a research framework for distributed multi-agent reinforcement learning
Deep Learning Indaba Practicals 2022
A collection of high-quality practicals covering a variety of modern machine learning techniques.
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Deep Learning Indaba Practicals 2022
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
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Just-in-Time Sparsity: Learning Dynamic Sparsity Schedules
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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Mava: a research framework for distributed multi-agent reinforcement learning
DQN Agent playing Pong
A DQN agent playing pong.
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DQN Agent playing Pong