THERMODYNAMIC COMPUTING FOR AUTONOMOUS SYSTEMS
Next-generation multi-agent coordination platform leveraging energy-based models and Boltzmann distributions for unprecedented autonomous vehicle orchestration. Production-ready framework with distributed training, real-time monitoring, and FAA-compliant safety protocols.
Leverages Boltzmann distributions and energy-based models for optimal action sampling. Inspired by Extropic AI's THRML architecture for probabilistic decision-making under uncertainty.
Advanced multi-agent coordination using Block Gibbs sampling to partition agents into optimal coordination groups, enabling scalable fleet management up to 256 concurrent vehicles.
Built-in compliance manager enforcing geofencing, altitude restrictions, and separation requirements. Real-time validation against FAA Part 107 and emerging UAM regulations.
Comprehensive edge case manager simulating GPS failures, sensor malfunctions, bird strikes, and adverse weather conditions for robust training in failure scenarios.
Production-grade monitoring dashboard with live simulation view, training metrics, replay analysis, and performance profiling. Streamlit-based interface with sub-second updates.
Ray-based distributed training supporting PPO, DDPG, and custom thermodynamic algorithms. Automatic scaling across GPU clusters with PufferLib vectorization.