| 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