sven1977

rllib_tutorials

Ray RLlib tutorial material

huggingface_rllib

Load and upload RLlib models from and to the Hub.

dreamer_v3

Implementation (TensorFlow/keras) of the DreamerV3 model-based RL algorithm by Hafner et al. 2023

shine

[s]erver-[h]osted [i]ntelligent [n]eural-net [e]nvironment

attention_is_all_you_need

Implementation of the Transformer Model described in "Attention is all you need" by Vaswani et al.

ray

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.

perceptron_to_dnc

"From Perceptrons to Differentiable Neural Computers", by Dr. Sven Mika. Presentation at DUS ML meetup Dec 2nd 2017

rl_algorithms

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

dreamerv3_danijar

Mastering Diverse Domains through World Models

gym

A toolkit for developing and comparing reinforcement learning algorithms.

rl-experiments

Keeping track of RL experiments

rl_debugging

rl_introduction

python code accompanying the talk "Reinforcement Learning, An Introduction", Dr. Sven Mika (Duesseldorf, Germany Aug 20th 2017)