Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
Morphology-control co-design concerns the coupled optimization of an agent's body structure and control policy. This problem exhibits a bi-level structure, where the control dynamically adapts to the morphology to maximize performance. Existing methods typically neglect the control's adaptation dynamics by adopting a single-level formulation that treats the control policy as fixed when optimizing morphology. This can lead to inefficient optimization, as morphology updates may be misaligned with
Record details
Published: 16 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
PA3: Policy-Aware Agent Alignment through Chain-of-Thought
arXiv · 15 March 2026
Cryptographic Runtime Governance for Autonomous AI Systems: The Aegis Architecture for Verifiable Policy Enforcement
arXiv · 15 March 2026
LLM Constitutional Multi-Agent Governance
arXiv · 13 March 2026
COMPASS: The explainable agentic framework for Sovereignty, Sustainability, Compliance, and Ethics
arXiv · 11 March 2026
Before the Tool Call: Deterministic Pre-Action Authorization for Autonomous AI Agents
arXiv · 21 March 2026
SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
arXiv · 10 March 2026
How to cite this record
ethics.ai (16 March 2026), “Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization,” evidence record 7170, https://ethics.ai/record/7170 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.