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AsyncWebRL: Efficient Multi-Step RL for Visual Web Agents

arXiv cs.LG · 2026-06-05 Cached

AsyncWebRL introduces an asynchronous multi-step reinforcement learning system for vision-language web agents, achieving up to 2.9x training speedup and setting a new state-of-the-art on WebGym by replacing per-trajectory normalization with a constant to reduce trajectory length inefficiency.

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