Author

Ece Kamar

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#artificial intelligence Preprint Sep 2026

When Successful Strategies Fail: Adaptation to Environmental Novelty in Terminal Agents

This work introduces AGNI, an automated pipeline that extracts trajectory-relevant assumptions, injects targeted environmental changes, and validates that the resulting novel tasks remain solvable and highlights a gap between task competence and adaptive capability and motivate environmental variation as a core dimensi...

Janvijay Singh, Vaishnavi Shrivastava, Dilek Hakkani-Tur et al. · 0 citations

Jul 2026

Echoverse: Deep, Evolving Environments for Training Computer-Use Agents at Scale

This work presents Echoverse, which compiles specifications into stateful applications whose tasks are graded against the application's own database, and a co-evolution loop that reads every graded rollout twice: as repairs to the environment, its tasks and its verifier, and as training signal for the model.

Yash Pandya, Sahil Gupta, Sarthak Harne et al. · arXiv.org · 0 citations