Reachable Global Optimization in AI Systems: How Global Is Global?

arXiv:2609.27855 · cs.AI · Submitted 2026-08-20 · Read on arXiv

cs.AI

Submitted: 2026-08-20

Updated: 2026-08-20

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 46× in this paper · explained in 2 episodes
• Verifier — 27× in this paper · explained in 2 episodes
• Pruning — 16× in this paper · explained in 4 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Bayesian Optimization — 4× in this paper · explained in 3 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Local Optimization — 3× in this paper · explained in 2 episodes
• Reachability-Induced Optimization — 3× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Acquisition Function — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Evaluating Large Language Models Trained on Code
• Reflexion: Language Agents with Verbal Reinforcement Learning

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