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prml

PRML algorithms implemented in Python

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

pupil-detection

pyrep

A toolkit for robot learning research.

pysc2

StarCraft II Learning Environment

python_autocomplete

A simple neural network for python autocompletion

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-maml

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

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch-nfsp

Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)

pytorch-tutorial

Build your neural network easy and fast

qt_opt

Q-network with cross-entropy (CE) method for reinforcement learning.

quantumiracle

qubit-discrimination

qubit-discrimination-paper

real_robots

Gym environments for Robots that learn to interact with the environment autonomously

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 implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Reinforcement learning tutorials

reinforcement_learning_for_traffic_light_control

Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.

research-and-coding

研究资源列表 A curated list of research resources

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-with-autoencoder-for-learning-from-image-pixels

rl_a3c_pytorch

A3C LSTM Atari with Pytorch plus A3G design

rl_rlbench

Reinforcement Learning for RLBench

rllab

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

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

robolite

This is a fork of Surreal Robotics Suite that enables support to domain randomization and inverse kinematics (IK).