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#constrained-optimization News & Analysis

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

2 articles
AINeutralarXiv – CS AI · Mar 37/104
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Selection as Power: Constrained Reinforcement for Bounded Decision Authority

Researchers extend the "Selection as Power" framework to dynamic settings, introducing constrained reinforcement learning that maintains bounded decision authority in AI systems. The study demonstrates that governance constraints can prevent AI systems from collapsing into deterministic dominance while still allowing adaptive improvement through controlled parameter updates.

AINeutralarXiv – CS AI · 9h ago6/10
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SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints

Researchers introduce Safety-Biased Trust Region Policy Optimisation (SB-TRPO), a reinforcement learning algorithm designed to satisfy strict safety constraints in critical applications while maintaining task performance. The method dynamically balances safety compliance with reward improvement through principled policy updates, with formal guarantees of safety progress.