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cff-version: 1.2.0
message: "If you use INTERCEPT in your research, please cite it as below."
title: "INTERCEPT: A reproducible benchmark for classical vs. modern missile-interception guidance"
abstract: >-
INTERCEPT is a simulation-only, research-grade benchmark and platform that compares
classical (proportional navigation, optimal/geometric), game-theoretic, optimization-based
(MPC), and learned (reinforcement-learning) missile-interception guidance laws on identical,
configurable engagement geometries, with shared metrics and Monte-Carlo statistics.
type: software
repository-code: "https://github.com/Manas-arumalla/intercept"
url: "https://Manas-arumalla.github.io/intercept"
authors:
- family-names: "Arumalla"
given-names: "Manas Reddy"
email: "manasreddyarumalla@gmail.com"
keywords:
- missile guidance
- proportional navigation
- pursuit-evasion
- reinforcement learning
- model predictive control
- differential games
- control systems
- robotics
license: MIT
version: "0.1.0"
date-released: "2026-06-07"