MarcoMeter

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

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

CIV-ML-Agents-Environments

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

endless-memory-gym

Challenging Memory-based Deep Reinforcement Learning Agents

episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

neroRL

Deep Reinforcement Learning Framework done with PyTorch

recurrent-ppo-truncated-bptt

Baseline implementation of recurrent PPO using truncated BPTT

StarcraftNeuralNetAi

This is the implementation of my Bachelor Thesis

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.

Wine-Classification-Course

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

MarcoMeter/episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

MarcoMeter/recurrent-ppo-truncated-bptt

Baseline implementation of recurrent PPO using truncated BPTT

MarcoMeter/endless-memory-gym

Challenging Memory-based Deep Reinforcement Learning Agents

MarcoMeter/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.

MarcoMeter/neroRL

Deep Reinforcement Learning Framework done with PyTorch

MarcoMeter/StarcraftNeuralNetAi

This is the implementation of my Bachelor Thesis

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

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

MarcoMeter/CIV-ML-Agents-Environments

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

MarcoMeter/Wine-Classification-Course

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

MarcoMeter/Beastly-Rivals-Onslaught

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

MarcoMeter/cleanrl-ppo-trxl

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

MarcoMeter/Simple-Image-Labelling-Tool

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

MarcoMeter/awesome-real-world-rl

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

MarcoMeter/DET-SS2019

MarcoMeter/MarcoMeter.github.io

MarcoMeter/ml-agents

Unity Machine Learning Agents Toolkit

MarcoMeter/obstacle-tower-env

Obstacle Tower Environment

MarcoMeter/obstacle-tower-source

Obstacle Tower Source Code

MarcoMeter/rlpyt

Reinforcement Learning in PyTorch

MarcoMeter/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.