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

Summaries of the papers that are discussed by VLG.

Artificial Intelligence Learning Notes.

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

Meandering In Networks of Entities to Reach Verisimilar Answers

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Bayesian Reinforcement Learning in Tensorflow

Must-read papers on knowledge graph reasoning

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

A reinforcement learning package for Julia

PyTorch Implementation of REINFORCE for both discrete & continuous control

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Awesome Game AI materials of Multi-Agent Reinforcement Learning

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Free Resources For Data Science created by Shubham Kumar

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

Reinforcement Learning in Go

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

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

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

Classic papers and resources on recommendation

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

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

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange

A universal flight control tuning framework

中国象棋alpha zero程序

POMDPs in Python.

Accelerated deep learning R&D

An environment to high-frequency trading agents under reinforcement learning

Implementations of Reinforcement Learning and Planning algorithms

Code for the paper "Evolved Policy Gradients"

Machine Learning notebooks for refreshing concepts.

Unreal environments for reinforcement learning

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

ns3-gym - The Playground for Reinforcement Learning in Networking Research

Deep Reinforcement Learning for de-novo Drug Design

playing idealized trading games with deep reinforcement learning

Amazing Machine Learning Open Source Tools and Projects for the Past Year (v.2019)

Input Convex Neural Networks

Implementation for the Neural Logic Machines (NLM).

Reinforcement learning with A* and a deep heuristic

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Framework for Multi-Agent Deep Reinforcement Learning in Poker

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A fast Evolution Strategy implementation in Python

Train an RL agent to localize actively (PyTorch)

Deep Learning and deep reinforcement learning research papers and some codes

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

Sokoban environment for OpenAI Gym

《Reinforcement Learning: An Introduction》（第二版）中文翻译

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

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

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🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A collection of multi agent environments based on OpenAI gym.

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).