752 Open source projects that are alternatives of or similar to Starcraft

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

PyTorch implementation of Trust Region Policy Optimization

Deep Reinforcement Learning (DRL) agents applied to medical images

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

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

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

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 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

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

RAD: Reinforcement Learning with Augmented Data

My Solution to Assignments of CS234

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

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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/

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

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

PyTorch implementation of soft actor critic

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

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

A reinforcement learning package for Julia

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Minimal and Clean Reinforcement Learning Examples

Artificial intelligence for the Snake game.

RLgraph: Modular computation graphs for deep reinforcement learning

Explore and find reinforcement learning environments in a list of 150+ open source environments.

TensorFlow2 Reinforcement Learning

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

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

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

MuZero

🤖 Implements of Reinforcement Learning algorithms.

Highly Modular and Scalable Reinforcement Learning

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

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

Grokking Deep Reinforcement Learning

Resources, papers, tutorials

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

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.

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

PyTorch implementation of Soft Actor-Critic (SAC)

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

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).

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

playing idealized trading games with deep reinforcement learning

Unity Machine Learning Agents Toolkit

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

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

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

An advanced program in Machine Learning and Deep Learning

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Teach a Quadcopter How to Fly!

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

DrQ: Data regularized Q

Tensorforce: a TensorFlow library for applied reinforcement learning