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a3c-pytorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

a3c_tensorflow

Tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'

ai-blog

Accompanying repository for Let's make a DQN / A3C series.

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

async-rl-1

Variation of "Asynchronous Methods for Deep Reinforcement Learning" with multiple processes generating experience for agent (Keras + Theano + OpenAI Gym)[1-step Q-learning, n-step Q-learning, A3C]

asynchronous-methods-for-deep-reinforcement-learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

benchmark_results

visual tracker benchmark results

binaryconnect

Training Deep Neural Networks with binary weights during propagations

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

cf_benchmark_results

Benchmark results of correlation filters

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

deep_q_rl

Theano-based implementation of Deep Q-learning

deepfool

A simple and accurate method to fool deep neural networks

deeplearningvideogames

deepmind-atari-deep-q-learner

The original code from the DeepMind article + my tweaks

dqn

This is a very basic DQN implementation, which uses OpenAI's gym environment and Keras/Theano neural networks.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

foolgo

A Go A.I. based on MCTS(AlphaGo's basic algorithm) WITHOUT Deep Learning

gomoku_mcts

Gomoku AI by MCTS

helloworld

hugo-academic

The personal website framework for Hugo

k-vim

vim配置

latextools

LaTeX plugin for Sublime Text 2 and 3

mcts

Monte-Carlo Tree Search (MCTS) basic implementation.

mcts-1

mcts-2

mctsmario

Monte Carlo Tree Search Mario AI

michi

Minimalistic Go MCTS Engine