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

Classic papers and resources on recommendation

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

Free Resources For Data Science created by Shubham Kumar

Reinforcement Learning in Go

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

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

A universal flight control tuning framework

Build environment and train a robot arm from scratch (Reinforcement Learning)

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

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

Bayesian Reinforcement Learning in Tensorflow

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

我的强化学习笔记和学习材料📖 still updating ... ...

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

PyTorch Implementation of REINFORCE for both discrete & continuous control

🧑‍🏫 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, ... 🧠

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).

Minimal and Clean Reinforcement Learning Examples

Meandering In Networks of Entities to Reach Verisimilar Answers

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

Summaries of the papers that are discussed by VLG.

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

Must-read papers on knowledge graph reasoning

A collection of multi agent environments based on OpenAI gym.

Machine Learning notebooks for refreshing concepts.

Implementation for the Neural Logic Machines (NLM).

Reinforcement learning with A* and a deep heuristic

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

Check out the new game server:

Input Convex Neural Networks

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

Framework for Multi-Agent Deep Reinforcement Learning in Poker

A curated list of dedicated resources and applications

Deep Learning and deep reinforcement learning research papers and some codes

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

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

RL Notation and Pseudocode for Udacity's MLND program

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

Implementations of Reinforcement Learning and Planning algorithms

中国象棋alpha zero程序

Implementation of algorithms for continuous control (DDPG and NAF).

An environment to high-frequency trading agents under reinforcement learning

playing idealized trading games with deep reinforcement learning

Code for the paper "Evolved Policy Gradients"

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Unreal environments for reinforcement learning

A fast Evolution Strategy implementation in Python

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

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

Deep Reinforcement Learning for de-novo Drug Design

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

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

A student implementation of Alpha Go Zero

Accelerated deep learning R&D

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

A life simulation for exploring social dynamics

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

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

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