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Ray RLlib tutorial material
Load and upload RLlib models from and to the Hub.
Implementation (TensorFlow/keras) of the DreamerV3 model-based RL algorithm by Hafner et al. 2023
[s]erver-[h]osted [i]ntelligent [n]eural-net [e]nvironment
RLlib + Unreal Engine 5 demo
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Repositories
16Ray RLlib tutorial material
Pre-train a small transformer with ray on your laptop from scratch on a translation task, then post-train with RLAIF.
RLlib + Unreal Engine 5 demo
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
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python code accompanying the talk "Reinforcement Learning, An Introduction", Dr. Sven Mika (Duesseldorf, Germany Aug 20th 2017)
Implementation (TensorFlow/keras) of the DreamerV3 model-based RL algorithm by Hafner et al. 2023
Implementation of the Transformer Model described in "Attention is all you need" by Vaswani et al.
Mastering Diverse Domains through World Models
Load and upload RLlib models from and to the Hub.
A curated list of awesome Machine Learning frameworks, libraries and software.
Keeping track of RL experiments
[s]erver-[h]osted [i]ntelligent [n]eural-net [e]nvironment
"From Perceptrons to Differentiable Neural Computers", by Dr. Sven Mika. Presentation at DUS ML meetup Dec 2nd 2017
A toolkit for developing and comparing reinforcement learning algorithms.