pedronahum

dm-control-rl

Implementations of reinforcement learning algorithms on top of The DeepMind Control Suite and Package

agents

Efficient Batched Reinforcement Learning in TensorFlow

Arcade-Learning-Environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

ARS

An implementation of the Augmented Random Search algorithm for The DeepMind Control Suite and Package

BinaryNet.pytorch

Binarized Neural Network (BNN) for pytorch

NoiseInjection

Fork of DART: Noise Injection for Imitation Learning

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

chapelVSCode

Chapel support for Visual Studio Code

chatzilygeroudis_2018_rte

Code for the Reset-free Trial and Error learning paper (RTE) experiments

DART

dm_control

The DeepMind Control Suite and Package

GA3C

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

Naiad

The Naiad system provides fast incremental and iterative computation for data-parallel workloads

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

paac

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

ParallelProgrammingWithOpenACC

Example codes from the book Parallel Programming With OpenACC

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

QuantLibAdjoint

QuantLib with adjoint algorithmic differentiation (AAD)

ray

A high-performance distributed execution engine

Uncertainty-1

Uncertainty is a C# library that uses LINQ to let developers easily express probabilistic computations and then inference over those computations.

XNOR-Net-PyTorch

PyTorch Implementation of XNOR-Net