1487 Open source projects that are alternatives of or similar to Pgdrive

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

Self-driving car simulator for the Duckietown universe

Multi-player spaceship bridge simulator. Captain your starship through adventures with your friends. See https://smcameron.github.io/space-nerds-in-space

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

👉 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

C++ library for Parsing OpenScenario (1.1.1) & OpenDrive files (1.7) ASAM Specifications

Open-source simulator for autonomous driving research.

A game of lonely space adventure

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

An OpenAI gym wrapper for CARLA simulator

OPEM (Open Source PEM Fuel Cell Simulation Tool)

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.

Scenarios, tutorials and demos for Autonomous Driving

Fantasy Worlds Procedurally Generated

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

Open-source reinforcement learning environment for autonomous racing.

The devkit of the nuPlan dataset.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

PLUTO-GPS-SIM generates a GPS baseband signal IQ data stream, which is then transmitted by the software-defined radio (SDR) platform ADALM-Pluto.

adrianton3.github.io/differential-growth/

Simple 3D interior simulator for RL & robotics research

TensorFlow2 Reinforcement Learning

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

A list of references on lidar point cloud processing for autonomous driving

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

An environment to high-frequency trading agents under reinforcement learning

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

🌏: Dungeon free resources (terrain & roguelike generation)

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

3D rendered proc-gen world test. C++ homebrew voxel engine for agent-driven prodedural generation / world simulation

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

Gibson Environments: Real-World Perception for Embodied Agents

Tensorflow implementation of generative adversarial imitation learning

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Digital circuit learning platform

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

The RoboCup Soccer Simulator Server

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

A digital logic simulator

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

A Configurable Recommender Systems Simulation Platform

Open source robotics simulator.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Open source simulator for maritime robotics researchers

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

Reinforcement learning environments with musculoskeletal models

Simulation of spiking neural networks (SNNs) using PyTorch.

Pyncov-19: Learn and predict the spread of COVID-19

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

Reinforcement learning algorithms for MuJoCo tasks

Blazing fast hexapod robot simulator for the web.

A minimalist environment for decision-making in autonomous driving

A cross-platform app that allows for building and simulating FRC electronics in real time.