Neuro Inspired Inverse Learning

---
name: neuro-inspired-inverse-learning
description: Neuro-inspired Inverse Learning framework for planning and control — bridges RL amortization and optimal control with quantum gate applications
category: neuroscience
trigger_words: [inverse learning, forward model, open-loop control, embodied planning, quantum gate synthesis]
arxiv_id: 2605.24152
---
# Neuro-Inspired Inverse Learning for Planning and Control

## Summary
Neuro-inspired framework for embodied planning using forward/inverse internal models, open-loop multi-step commands, hierarchical action organization. Inverse Learning bridges RL amortization and optimal control trajectory planning. Applied to single-qubit quantum gate synthesis matching GRAPE fidelity at 1000x lower compute.

## Core Methodology
- **Category**: cs.AI
- **Authors**: Maryna Kapitonova, Tonio Ball
- **arXiv**: [2605.24152](https://arxiv.org/abs/2605.24152)

## Key Concepts
- inverse learning
- planning
- control
- forward model
- quantum gates
- embodied AI
- neuro-inspired
- open-loop commands

## Activation Triggers
inverse learning, forward model, open-loop control, embodied planning, quantum gate synthesis