MarcoMeter/CIV-ML-Agents-Environments MarcoMeter/CIV-ML-Agents-Environments

  • Stars
    star
    3
  • Rank 3,954,873 (Top 79 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created about 6 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
MarcoMeter/CIV-ML-Agents-Environments
github

MarcoMeter

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This repository features Reinforcement Learning environments that are made with Unity ML-Agents to approach industrial use-cases.

More Repositories

1

episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory
Python
135
star
2

recurrent-ppo-truncated-bptt

Baseline implementation of recurrent PPO using truncated BPTT
Jupyter Notebook
119
star
3

endless-memory-gym

Challenging Memory-based Deep Reinforcement Learning Agents
Python
77
star
4

Unity-ML-Environments

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.
C#
29
star
5

neroRL

Deep Reinforcement Learning Framework done with PyTorch
Python
27
star
6

StarcraftNeuralNetAi

This is the implementation of my Bachelor Thesis
C#
7
star
7

Wine-Classification-Course

Using a multi-layer perceptron and the kNN Algorithm to classify wine to be red or white wine.
Jupyter Notebook
3
star
8

Action-Space-Compositions-in-Deep-Reinforcement-Learning

Application of concurrent discrete and continuous actions on two novel DRL environments to mimic human input devices.
Jupyter Notebook
3
star
9

Beastly-Rivals-Onslaught

Beastly Rivals Onslaught (BRO) is a use-case for conducting AI research made with Unity.
C#
2
star
10

Simple-Image-Labelling-Tool

SILT is a trivial tool (build with .net 4.6.1) to help labeling images.
C#
1
star