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awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

cplex-examples

cs170_algorithms

cs186_database

cs188_artificial_intelligent

cs280_computer_vision

cs294_deep_learning

cs294_deep_reinforcement_learning

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deeprl

Combining deep learning and reinforcement learning.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

detection-2016-nipsws

Hierarchical Object Detection with Deep Reinforcement Learning

dqn_vizdoom_theano

AI learning from visual input using ViZDoom environment.

drl-research

deep reinforcement learning research

ds100_data_science

experiment

flappy-es

Playing Flappy Bird using Evolution Strategies

ga3c

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

gps

Guided Policy Search

imitation

lab

A customisable 3D platform for agent-based AI research

meta-rl

Implementation of Meta-RL A3C algorithm

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

palns

Parallel Adaptive Large Neighborhood Search

paper_reading

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

psketch

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

rllab

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