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Some code for analyzing dynamic games
This is the repository for the FACTEST framework.
A ROS workspace to implement complex, intelligent human-robot interaction behaviors in dynamic environments using game-theoretical approaches. Created as a final project for ASE 389: Game Theoretical Modeling of Multiagent Systems, Fall 2022 at the University of Texas - Austin.
[ICCV 2023 & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
Simulator for interacting dynamical systems using generalized potential games
[ICRA'22] Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement
The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive Environments"
A minimalist environment for decision-making in autonomous driving
Rapidly designing and solving differential games in Julia.
A Julia Package for solving nonlinear mutli-agent general-sum different games using iterative linear-quadratic approximations
iterative Linear Quadratic Regulator with constraints.
A python3 simulation for interactive multi-lane traffic simulation
Introduction to the paper "Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model"
Introduction and source code to paper: ``IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal Planning''
A Julia package for constrained iterative LQR (iLQR)
Model Predictive Path Integral Control with JAX
Focus on trajectory optimization in Julia. Additional resources in learning Julia from the basics.
Differential game theory for multi-agent collision avoidance. Simulations set up.
Dynamics of multi-agent learning
Gradient learning in linear quadratic games
Online deadlock-free multi-agent trajectory planner using linear safe corridor (LSC)
Linear Temporal Logic Motion Planning with Graphs of Convex Sets
implementation of MADDPG using PettingZoo and PyTorch
Multi-agent Reinforcement Learning for Autonomous Vehicles
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.