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

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