1021 Open source projects that are alternatives of or similar to Autodrome

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

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Webots Robot Simulator

Simple 3D interior simulator for RL & robotics research

An environment to high-frequency trading agents under reinforcement learning

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Player/Stage SLAM

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

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

A gym environment for Stuart Armstrong's model of a treacherous turn.

Scenarios, tutorials and demos for Autonomous Driving

A reinforcement learning environment for self-driving cars in the browser.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Learning human driver models from NGSIM data with imitation learning.

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

A Configurable Recommender Systems Simulation Platform

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

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Simulation of spiking neural networks (SNNs) using PyTorch.

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

Maze Applied Reinforcement Learning Framework

Reinforcement learning algorithms for MuJoCo tasks

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

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

A reinforcement learning package for Julia

Train an RL agent to localize actively (PyTorch)

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

Unreal environments for reinforcement learning

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

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Summaries of the papers that are discussed by VLG.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Julia implementation of various rigid body dynamics and kinematics algorithms

PyTorch Implementation of REINFORCE for both discrete & continuous control

An awesome list of self-driving cars

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

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

Sokoban environment for OpenAI Gym

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

An awesome list of self-driving cars

A Top Down 2D Car Simulator For Unity

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).

Deep Reinforcement Learning for de-novo Drug Design

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

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

Must-read papers on knowledge graph reasoning

Awesome Game AI materials of Multi-Agent Reinforcement Learning

POMDPs in Python.

Classic papers and resources on recommendation

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

中国象棋alpha zero程序

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

A framework for hydrodynamics explorations and prototyping

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

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