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WildAWM Synthesizes 341 Computer-Use Environments to Train Agents

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WildAWM openly synthesizes 341 environment-task pairs with solvability guarantees, frontier-level difficulty (GPT-6-Astra ~72.7 pass@8) and 95% verifier-judge agreement; training only in these synthetic worlds lifts Qwen3.6-35B-A3B by +10.58 points across 8 OOD benchmarks.

World ModelsAgent TrainingEnvironment SynthesisReinforcement LearningMicrosoft Research
Category: agents
Author: @zhaoywang_CS
Date: 2026-10-20T00:00:00
Duration: 45.6s
Source: https://x.com/zhaoywang_CS/status/2112614057354125385
Reference: https://github.com/MSR-Orchard/WildAWM

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