1040 Open source projects that are alternatives of or similar to Learning To Communicate Pytorch

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

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

Python library for Reinforcement Learning.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

RAD: Reinforcement Learning with Augmented Data

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

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[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

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This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

playing idealized trading games with deep reinforcement learning

DrQ: Data regularized Q

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🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

A PyTorch library for building deep reinforcement learning agents.

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

AI research environment for the Atari 2600 games 🤖.

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

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MuZero

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A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

OpenAI's cartpole env solver.

Modularized Implementation of Deep RL Algorithms in PyTorch

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Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

강화학습에 대한 기본적인 알고리즘 구현

Master Thesis: Limit order placement with Reinforcement Learning

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Resources, papers, tutorials

A universal flight control tuning framework

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

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).

TensorFlow implementation of Deep Reinforcement Learning papers

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

Deep Reinforcement Learning (DRL) agents applied to medical images

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Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

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Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

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An environment to high-frequency trading agents under reinforcement learning

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