2 papers
cs.AI2026
MarketBench: Evaluating AI Agents as Market Participants
Andrey Fradkin, Rohit Krishnan
Markets are a promising way to coordinate AI agent activity for similar reasons to those used to justify markets more broadly. In order to effectively participate in markets, agent…
cs.AI2025
RLNVR: Reinforcement Learning from Non-Verified Real-World Rewards
Rohit Krishnan, Jon Evans
This paper introduces RLNVR (Reinforcement Learning from Non-Verified Rewards), a framework for training language models using noisy, real-world feedback signals without requiring…