1192 Open source projects that are alternatives of or similar to Pysc2 Examples

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

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

Resources, papers, tutorials

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

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

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

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

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

PyTorch implementation of Soft Actor-Critic (SAC)

Tensorforce: a TensorFlow library for applied reinforcement learning

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

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

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

A3C LSTM Atari with Pytorch plus A3G design

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

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

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

PyTorch implementation of soft actor critic

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

GPU Javascript Library for Machine Learning

Reinforcement Learning for WeChat Jump

AI trained using Genetic Algorithm and Deep Learning to play the game of snake

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

AI斗地主

Deep Neuroevolution

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Awesome Game AI materials of Multi-Agent Reinforcement Learning

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

Python library for Reinforcement Learning.

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

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

JAX implementations of core Deep RL algorithms

A life simulation for exploring social dynamics

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

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

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..

Gibson Environments: Real-World Perception for Embodied Agents

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

RLgraph: Modular computation graphs for deep reinforcement learning

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

DrQ: Data regularized Q

Debugging, monitoring and visualization for Python Machine Learning and Data Science

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

A fast Evolution Strategy implementation in Python

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Guided Policy Search

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

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

TensorFlow2 Reinforcement Learning

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

Deep Q-learning for playing tetris game

Multiple implementations for abstractive text summurization , using google colab

Grokking Deep Reinforcement Learning

Repo for the Deep Reinforcement Learning Nanodegree program

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

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

use AI to play some games.

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

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