MarcoMeter/Beastly-Rivals-Onslaught

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Created over 7 years ago
Updated about 7 years ago

MarcoMeter/Beastly-Rivals-Onslaught

MarcoMeter

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

episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

recurrent-ppo-truncated-bptt

Baseline implementation of recurrent PPO using truncated BPTT

Jupyter Notebook

endless-memory-gym

Challenging Memory-based Deep Reinforcement Learning Agents

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.

neroRL

Deep Reinforcement Learning Framework done with PyTorch

StarcraftNeuralNetAi

This is the implementation of my Bachelor Thesis

CIV-ML-Agents-Environments

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

Wine-Classification-Course

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

Jupyter Notebook

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

Simple-Image-Labelling-Tool

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