AINeutralarXiv – CS AI · 8h ago6/10
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Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers
Trivium introduces a framework for AI agents that tracks temporal regret—how long errors persist—alongside outcome and epistemic regret to improve long-term learning. The research demonstrates that outcome-only optimization fails to correct systematic causal misunderstandings, and proposes a logarithmic-complexity intervention strategy that achieves O(log E) temporal regret across episode horizons.