Research
We build resilient agent systems: bounded-state control, biologically-inspired coping signals, and practical evaluation under stress.
Resilient-GNN-Controller
A resilience-oriented controller prototype for AI agents. It maintains a bounded internal state ("hormones"), composes those into safe control knobs, and applies layered coping (timeouts, circuit breakers, adaptive baselines) to stabilize behavior under chaos.
Bench highlights
- Preliminary train steps50k (per config)
- Environments tested4
- Evaluation100 episodes × 1000 steps
- ComputeCUDA (A100 noted)
What’s public vs private
Public now
- - Core resilient controller implementation and experiments in the public repo
- - Bench code and environment scaffolding
Private for now
- - Any unreleased evaluation extensions and internal benchmarking harness
- - Commercial product packaging and integration glue
Research areas
Resilience controllers for RL agents
Bounded-state safety and recovery
Biologically-inspired coping signals
Graph-based multi-agent control
Talk
Resilient Agent + Resilient Controller (Coping Hormones)
NolaAi · 2025-11-11
Want slides or a walkthrough? Reach out via the contact page.
Publications and technical reports will appear here.