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agents_that_listen

Train an agent to play VizDoom with multi sensory inputs. Trained using sample factory

aidungeon

Infinite adventures await!

asv-cm-reinforce

Optimizing speaker verification and spoofing countermeasure systems together with REINFORCE

async-rl

Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

basalt_competition_baseline_submissions

brain-tokyo-workshop

🧠🗼

catastrophic-forgetting

Source code for the experiments in my MSc thesis titled Understanding Forgetting in Artificial Neural Networks.

competition_submission_starter_template

The submission template for the MineRL Competition on Sample Efficicent RL @ NeurIPS 2019. Clone this to make a new submission!

conditional_diffusion_mnist

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gan-aimbots

Code for the experiments done in the paper "GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters"

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-docs

Code for Gym documentation website

im2latex-dataset

Python tools for creating suitable dataset for OpenAI's im2latex task: https://openai.com/requests-for-research/#im2latex

incubator

Collection of in-progress libraries for entity neural networks.

mastering-chutes-and-ladders

The source code for mastering the game of Chutes and Ladders

minecraft-bc

Submission code of UEFDRL team to NeurIPS 2019 MineRL challenge (5th place)

minecraft-bc-2020

Behavioural cloning solution to MineRL2020 competition

minerl

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

nle-sample-factory-baseline

obstacle-tower-challenge

Starter Kit for the Unity Obstacle Tower challenge

openra

Open Source real-time strategy game engine for early Westwood games such as Command & Conquer: Red Alert written in C# using SDL and OpenGL. Runs on Windows, Linux, *BSD and Mac OS X.

plugins

🧪☕️⚡️A list of TShock for Terraria plugins.

policy-supervectors

Creating fixed-length vectors to describe RL/GA policies

project-nn-pytorch-scripts

pyjsonviewer

A JSON viewer using pure python

requests-for-research

A living collection of deep learning problems

rl-action-space-shaping

Experiment code for testing effect of various action space transformations in reinforcement learning

rl-human-prior-tricks

Evaluating different engineering tricks that make RL work

rlenv.directory

Your go to place for finding that perfect reinforcement learning environment.