#policy-adaptation News & Analysis

2 articles tagged with #policy-adaptation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 57/10

🧠

TAM: Torque Adaptation Module for Robust Motion Transfer in Manipulation

Researchers introduce Torque Adaptation Module (TAM), a learned module that adapts robot torque commands to compensate for dynamics differences across robot instances, payload variations, and sim-to-real gaps. TAM enables reusable policy adaptation without requiring robot-specific retraining or real-world data collection, demonstrating robust performance on dynamic manipulation tasks with a real Franka Panda robot.

AIBullisharXiv – CS AI · Feb 277/105

🧠

CourtGuard: A Model-Agnostic Framework for Zero-Shot Policy Adaptation in LLM Safety

Researchers introduce CourtGuard, a new framework for AI safety that uses retrieval-augmented multi-agent debate to evaluate LLM outputs without requiring expensive retraining. The system achieves state-of-the-art performance across 7 safety benchmarks and demonstrates zero-shot adaptability to new policy requirements, offering a more flexible approach to AI governance.