Marco Pleines (MarcoMeter)

MarcoMeter

User data from Github https://github.com/MarcoMeter

Location:Germany

GitHub:@MarcoMeter

Twitter:@marco_pleines

Marco Pleines's repositories

episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

Language:PythonLicense:MITStargazers:194Issues:3Issues:14

recurrent-ppo-truncated-bptt

Baseline implementation of recurrent PPO using truncated BPTT

Language:Jupyter NotebookLicense:MITStargazers:155Issues:3Issues:13

endless-memory-gym

Challenging Memory-based Deep Reinforcement Learning Agents

Language:PythonLicense:MITStargazers:104Issues:5Issues:4

neroRL

Deep Reinforcement Learning Framework done with PyTorch

Language:PythonLicense:MITStargazers:38Issues:5Issues:3

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.

Language:C#License:MITStargazers:31Issues:8Issues:1

StarcraftNeuralNetAi

This is the implementation of my Bachelor Thesis

Language:C#License:GPL-3.0Stargazers:7Issues:1Issues:7

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

Application of concurrent discrete and continuous actions on two novel DRL environments to mimic human input devices.

Language:Jupyter NotebookStargazers:3Issues:1Issues:0

CIV-ML-Agents-Environments

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

Language:PythonLicense:Apache-2.0Stargazers:3Issues:2Issues:0

Wine-Classification-Course

Using a multi-layer perceptron and the kNN Algorithm to classify wine to be red or white wine.

Language:Jupyter NotebookLicense:MITStargazers:3Issues:1Issues:0

Beastly-Rivals-Onslaught

Beastly Rivals Onslaught (BRO) is a use-case for conducting AI research made with Unity.

Language:C#License:NOASSERTIONStargazers:2Issues:2Issues:9

pokemon_replay_recorder

Just a simple replay recorder

Language:PythonLicense:MITStargazers:2Issues:2Issues:0

cleanrl-ppo-trxl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Language:PythonLicense:NOASSERTIONStargazers:1Issues:0Issues:0

Simple-Image-Labelling-Tool

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

Language:C#License:MITStargazers:1Issues:1Issues:0

awesome-real-world-rl

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

License:MITStargazers:0Issues:1Issues:0
Language:C#Stargazers:0Issues:1Issues:2
Language:HTMLStargazers:0Issues:2Issues:0

ml-agents

Unity Machine Learning Agents Toolkit

Language:C#License:Apache-2.0Stargazers:0Issues:1Issues:0

obstacle-tower-env

Obstacle Tower Environment

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

obstacle-tower-source

Obstacle Tower Source Code

Language:C#License:Apache-2.0Stargazers:0Issues:1Issues:0

rlpyt

Reinforcement Learning in PyTorch

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

Unity-ML-Agents-Docker-Image

This repository provides all the necessary files to build and run a docker container, which is capable of training environments based on Unity's ML-Agents.

Language:Jupyter NotebookStargazers:0Issues:1Issues:0