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nninit

Weight initialization schemes for PyTorch nn.Modules

noisy_units

Codes for the "Noisy Activation Functions" paper.

noreward-rl

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

omniglot

Omniglot data set for one-shot learning

opennmt-py

Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

opentriviaqa

A creative commons dataset of trivia questions and answers

pgm_hw4

pytorch-a2c-ppo

A recurrent, multi-process and readable PyTorch implementation of the deep reinforcement algorithms A2C and PPO

pytorch-a2c-ppo-acktr

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).

pytorch-a3c

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

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

pytorch-noreward-rl

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorchrl

Deep Reinforcement Learning algorithms implemented in PyTorch

r-net

R-net in PyTorch

r-net-1

Tensorflow Implementation of R-Net

r-net-in-keras

R-NET implementation in Keras.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

reinforcement_learning_algorithms

This Repository Contains Most of Classic Deep Reinforcement Learning Algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

retro

Retro Games in Gym

retro-baselines

Publicly releasable baselines for the Retro contest

rl-tasks

Solutions to various tasks using reinforcement learning and optimal control (trajectory optimization)

rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

rlkit

Collection of reinforcement learning algorithms

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.