Robustness applied to policy-gradient variance rather than return distributions expands the basin of cooperative equilibria under partner noise in coordination games, quantified via the new Price of Paranoia metric.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
AI-saturated markets will produce premiums for verified human presence in labor, requiring governance to treat human-provenance verification as infrastructure rather than optional authenticity labels.
citing papers explorer
-
The Price of Paranoia: Robust Risk-Sensitive Cooperation in Non-Stationary Multi-Agent Reinforcement Learning
Robustness applied to policy-gradient variance rather than return distributions expands the basin of cooperative equilibria under partner noise in coordination games, quantified via the new Price of Paranoia metric.
-
Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets
AI-saturated markets will produce premiums for verified human presence in labor, requiring governance to treat human-provenance verification as infrastructure rather than optional authenticity labels.