Here are
17 public repositories
matching this topic...
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.
Updated
Jul 23, 2020
Python
⚡ ⚡ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐
Updated
Jun 29, 2020
Python
Deep Reinforcement Learning For Trading
Updated
Mar 31, 2020
Jupyter Notebook
A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray (RLLib) is used for training.
Updated
Jul 22, 2020
Jupyter Notebook
JupyterLab Notebook for Mesosphere DC/OS
Updated
Aug 6, 2019
Shell
Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning
Updated
Aug 18, 2019
Python
Reinforcement learning algorithms in RLlib
Updated
Jul 23, 2020
Python
NIPS challenge 2018 Prosthetics playground and testing ideas
Updated
Jun 12, 2019
Python
Updated
Sep 6, 2019
Python
Updated
May 26, 2019
Python
An autonomous driving simulator for modelling Vehicle to Infrastructure (V2I) conditions.
Updated
May 26, 2020
Jupyter Notebook
MAPO: Model-Aware Policy Optimization algorithm
Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).
Updated
Sep 30, 2019
Python
Curriculum learning using rllib on gymEnv "CarRacing"
Updated
Jan 14, 2020
Python
My attempt to implement a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning).
Updated
Jun 11, 2020
Jupyter Notebook
RLlib tutorials for Anyscale
Updated
Jul 7, 2020
Jupyter Notebook
An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial
Updated
Jul 14, 2020
Python
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