arXiv (All)
open access
WorldFailBench: Do World Models Understand Policy Failures?
Robot policy evaluation informs deployment decisions and policy improvement, but physical testing and simulator preparation require substantial effort. World models offer a complementary route through closed-loop interaction in generated environments. Recent benchmarks have demonstrated their potent
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Proxy Policy Steering#1084399
- RoboFQE: Rollout-Free Evaluation of Visual Robot Policies from Offline Trajectories#1344197
- Fly-by-Code: Embodied Coding Agents for Aerial Manipulation with Active Visual and Physical Feedback#1296556
- Back on Track: Deployment-time Policy Improvement via World Model Planning#1354270
- Extending Behavior Trees for Robotic Missions with Quality Requirements#629766
Record · ID 1456388
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive