534 Open source projects that are alternatives of or similar to Sc2atari

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A curated list of awesome links and software libraries that are useful for robots.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

A course in reinforcement learning in the wild

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

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A Configurable Recommender Systems Simulation Platform

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

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Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

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

Python library for Reinforcement Learning.

Computational framework for reinforcement learning in traffic control

SMAC: The StarCraft Multi-Agent Challenge

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A PyTorch library for building deep reinforcement learning agents.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

use AI to play some games.

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

Deep Reinforcement Learning Framework + Algorithms

Reversi reinforcement learning by AlphaGo Zero methods.

Deep Q-learning for playing flappy bird game

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

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

Python implementations of contextual bandits algorithms

Aim — a super-easy way to record, search and compare 1000s of ML training runs

Paper reading notes on Deep Learning and Machine Learning

Asynchronous Methods for Deep Reinforcement Learning

A curated list of Monte Carlo tree search papers with implementations.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Repo for the Deep Reinforcement Learning Nanodegree program

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

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

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Reinforcement Learning for Portfolio Management

Trax — Deep Learning with Clear Code and Speed

Multiple implementations for abstractive text summurization , using google colab

References on Optimal Control, Reinforcement Learning and Motion Planning

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Implementation of Meta-RL A3C algorithm

Monthly Series - Top 10 Machine Learning Articles

Structural implementation of RL key algorithms

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

A curated list of awesome self-supervised methods

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

TensorFlow2 Reinforcement Learning

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

Hearthstone simulator using C++ with some reinforcement learning

My experimentations with Reinforcement Learning in Pytorch

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

Reinforcement learning environments with musculoskeletal models

Gibson Environments: Real-World Perception for Embodied Agents

Obstacle Tower Environment