WEDGE uses navigation agents' own failures to generate targeted training environments
EliasEskin · x · 2026-10-16
Researchers introduce WEDGE (From Failures to Learnable Worlds), a policy-conditioned environment generation framework for navigation agents.
- Key observation: on the same navigation task, agents fail under different environmental conditions, yet most environment generators ignore what each agent actually needs
- WEDGE diagnoses where an agent struggles, then generates new environments targeting those weaknesses while remaining learnable; after each adaptation round it re-diagnoses the agent to guide the next generation cycle
- In short: an agent's own failures shape the worlds it trains in next
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