IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Gaming meets modern C++ - a fast and reliable entity component system (ECS) and much more

World's Smallest Nintendo Wii, using a trimmed motherboard and custom stacked PCBs

A simple MPC controller for path tracking implemented in python

A quasi Hybrid A* method is introduced for motion planning of autonomous driving car, based on MPC and Bezier spline

Your favorite map handling framework for automated driving, lanelet2, is now standalone and available on Windows, Linux and macOS.

Colab notebooks showcasing experiments on MPPI (model predictive path integral control) and CBF (control barrier function). Utilizes jax to accelerate computation.

Multi-Agent Reinforcement Learning for Path Planning

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Python library for asynchronous animation of discrete event simulation models

An all-in-one application to visualize multiple different local path planning algorithms

📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)

Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

Python implementation of a bunch of multi-robot path-planning algorithms.

Multi-Objective Reinforcement Learning algorithms implementations.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

The course project of UCLA ECE209

reinforcement learning with pytorch geometric library

Safe Bayesian Optimization

A playbook for systematically maximizing the performance of deep learning models.

Structural implementation of RL key algorithms

AI driven snake game using Reinforcement Learning and Deep Q Learning

Autoware - the world's leading open-source software project for autonomous driving

Scenario Gym: a scenario-centric lightweight simulator

A simple package to allow users to run Monte Carlo Tree Search on any perfect information domain

Monte Carlo tree search (MCTS) on traveling salesman problem (TSP)

Code used in the paper: Wesley Cox, Tim French, Mark Reynolds, Lyndon While. A Genetic Algorithm for Truck Dispatching in Mining. In GCAI 2017.

A GitBucket plugin rendering Gantt Chart.