A library of reinforcement learning components and agents

Using multiple sensor modalities to improve exploration for robotic manipulation tasks with sparse rewards

Code for the paper "Quantifying Transfer in Reinforcement Learning"

Latex code for making neural networks diagrams

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

Collection of reinforcement learning algorithms

Multitask Environments for RL

For educational materials related to the spinning up workshops.

Repo for reproduction of sequential social dilemmas

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

An educational resource to help anyone learn deep reinforcement learning.

Google Research

A Python toolbox for performing gradient-free optimization

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Multi Agent Reinforcement Learning using MalmÖ

Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

the only cheat sheet you need

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-play…

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

Fine Tuning Language Models for Multilabel Prediction

Cluttered Omniglot dataset and models

Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)

This is the repository for the distill web framework

Reference models and tools for Cloud TPUs.

Neural scene representation and rendering (GQN)