743 Open source projects that are alternatives of or similar to Starcraft Ai

Safe Bayesian Optimization

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Machine learning and data science blog.

60_Days_RL_Challenge中文版

Artificial intelligence for the Snake game.

Reinforcement learning tutorials

An advanced program in Machine Learning and Deep Learning

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

A working implementation of the Categorical DQN (Distributional RL).

Neural Paiters

API to run VirtualHome, a Multi-Agent Household Simulator

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

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

AI各领域学习资料整理。（A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.）

A Multi-agent Learning Framework

🦄 State-of-the-Art Conversational AI with Transfer Learning

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

A Platform for Many-agent Reinforcement Learning

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

MAGNet: Multi-agents control using Graph Neural Networks

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Autonomous Navigation of UAV using Reinforcement Learning algorithms.

The notes for Math, Machine Learning, Deep Learning and Research papers.

Reinforcement learning environments for Torch7

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

MuZero

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Minimalistic gridworld package for OpenAI Gym

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

GPU Javascript Library for Machine Learning

Applying NLP transfer learning techniques to predict Tweet stance

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

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Reinforcement Learning for WeChat Jump

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

A Trading environment base on Gym

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

A curated list of Deep Learning

Open source collection of Reinforcement Learning Environments.

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

Basic reinforcement learning implementation with tensorflow version 2.0

Maze Applied Reinforcement Learning Framework

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

A power network simulator with a Reinforcement Learning-focused usage.

List of summer schools in machine learning + related fields across the globe

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Implementing reinforcement-learning algorithms for pysc2 -environment

Deep Transfer Learning Papers

A selection of state-of-the-art research materials on decision making and motion planning.

This Repository contains all tensorflow tutorials.

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