1001 Open source projects that are alternatives of or similar to Machin

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

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Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

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

AI斗地主

OpenAI's cartpole env solver.

playing idealized trading games with deep reinforcement learning

Reinforcement learning models in ViZDoom environment

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

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This is a simple implementation of DeepMind's PySC2 RL agents.

RAD: Reinforcement Learning with Augmented Data

Our NIPS 2017: Learning to Run source code

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

Live Trading. Please star.

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Pytorch Implementation of RL algorithms

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

use AI to play some games.

Highly Modular and Scalable Reinforcement Learning

A pytorch tutorial for DRL(Deep Reinforcement Learning)

No description or website provided.

A3C LSTM Atari with Pytorch plus A3G design

강화학습에 대한 기본적인 알고리즘 구현

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Structural implementation of RL key algorithms

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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

My experimentations with Reinforcement Learning in Pytorch

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

PyTorch C++ Reinforcement Learning

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

Asynchronous Methods for Deep Reinforcement Learning

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

Scalable, event-driven, deep-learning-friendly backtesting library

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

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Maze Applied Reinforcement Learning Framework

Reinforcement Learning for WeChat Jump

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Implementing reinforcement-learning algorithms for pysc2 -environment

A working implementation of the Categorical DQN (Distributional RL).

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

in progress

Julia code for the book Reinforcement Learning An Introduction

Complete-Life-Cycle-of-a-Data-Science-Project

Coding Demos from the School of AI's Move37 Course

Python Implementation of Reinforcement Learning: An Introduction