deep-q-network

MorvanZhou/Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

simoninithomas/Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

rlcode/reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

keon/deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

qfettes/DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

sudharsan13296/Hands-On-Reinforcement-Learning-With-Python

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

chris-chris/pysc2-examples

StarCraft II - pysc2 Deep Reinforcement Learning Examples

samre12/deep-trading-agent

Deep Reinforcement Learning based Trading Agent for Bitcoin

JuliaReinforcementLearning/ReinforcementLearning.jl

A reinforcement learning package for Julia

MishaLaskin/curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

ChenglongChen/pytorch-DRL

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

uvipen/Flappy-bird-deep-Q-learning-pytorch

Deep Q-learning for playing flappy bird game

yukezhu/tensorflow-reinforce

Implementations of Reinforcement Learning Models in Tensorflow

uvipen/Tetris-deep-Q-learning-pytorch

Deep Q-learning for playing tetris game

MishaLaskin/rad

RAD: Reinforcement Learning with Augmented Data

hungtuchen/pytorch-dqn

Deep Q-Learning Network in pytorch (not actively maintained)

fangvv/UAV-DDPG

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

accel-brain/accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

cyoon1729/deep-Q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

navjindervirdee/2048-deep-reinforcement-learning

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

harveybc/gym-fx

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

gordicaleksa/pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

JasonYao81000/MLDS2018SPRING

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

pokaxpoka/sunrise

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

druce/rl

Deep Reinforcement Learning For Trading

jhu-lcsr/good_robot

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

AdrianP-/gym_trading

xkiwilabs/DQN-using-PyTorch-and-ML-Agents

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

andywu0913/OpenAI-GYM-CarRacing-DQN

Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.

Scitator/rl-course-experiments

lucylow/Deep-Learning-Mahjong---

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

thtrieu/essence

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

neka-nat/distributed_rl

Pytorch implementation of distributed deep reinforcement learning

vinaymancha/Subway-Surfers-AI

Deep Convolutional Q learning based Self learning implementation for Subway Surfers game

sdsubhajitdas/Rocket_Lander_Gym

💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.