Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
A Gym Dogfighting Simulation Benchmark for Reinforcement Learning Research
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Realistic Air Combat
CHECKMATE is a fast executing, agent-based simulation of air combat intended to support development of advanced algorithms
Built on JSBSim, a high-fidelity swarm drone beyond-visual-range (BVR) air combat simulation platform features 6-DOF flight dynamics, credible AIM-120C-5 missile physics, non-ideal perception with distance-scaled noise, absolute-state Kalman filter, parallel sandboxed strategies, and Tacview-compatible ACMI replay for validating strategy robustness
A standalone ASCII-styled 3D air-combat Web App with StSL/WebGPU presentation.
Join the ACE COMBAT 8: WINGS OF THEVE beta test, help shape the skies, and claim a free game key.
A cinematic 5v5 browser air-combat game on Three.js. MIT licensed. Play live: https://aircraft-war-simulation.bles-software.com
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