Cho-Jui Hsieh
2 papers · Latest:
Artificial Intelligence
ClawEnvKit: Automatic Environment Generation for Claw-Like Agents
ClawEnvKit automates diverse environment generation for claw-like agents from natural language, enabling scalable evaluation and adaptive training.
2604.18543
Artificial IntelligenceCycle-Consistent Search: Question Reconstructability as a Proxy Reward for Search Agent Training
Cycle-Consistent Search (CCS) trains search agents without gold supervision by using question reconstructability from search trajectories as a proxy reward.
2604.12967
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