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

Code repository for the Animal AI Olympics competition

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

A reinforcement learning package for Julia

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

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

[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.

RAD: Reinforcement Learning with Augmented Data

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.

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

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Implementations of Reinforcement Learning Models in Tensorflow

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

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

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

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

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

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

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

Minimal and Clean Reinforcement Learning Examples

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

DrQ: Data regularized Q

RLgraph: Modular computation graphs for deep reinforcement learning

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

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

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

Open-source simulator for autonomous driving research.

A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.

Tensorforce: a TensorFlow library for applied reinforcement learning

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

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

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

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

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

Grokking Deep Reinforcement Learning

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

PyTorch implementation of Trust Region Policy Optimization

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

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

Deep Reinforcement Learning based Trading Agent for Bitcoin

Deep Q-learning for playing tetris game

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

PyTorch implementation of soft actor critic

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

Trax — Deep Learning with Clear Code and Speed

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

Gibson Environments: Real-World Perception for Embodied Agents

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Deep Q-learning for playing flappy bird game

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

A PyTorch library for building deep reinforcement learning agents.

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..

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).

Multiple implementations for abstractive text summurization , using google colab

use AI to play some games.

Python library for Reinforcement Learning.