arXiv (All)
open access
Risk-Averse Online POMDP Planning via CVaR of the Immediate Cost with Performance Guarantees
Online POMDP planners optimize the expected cumulative cost, which can mask dangerous states when the belief places significant mass on high-cost states. Existing risk-averse methods apply static or dynamic Conditional Value at Risk (CVaR) to the value function, capturing trajectory-level risk, but
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
- RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning#19007
- Distributed risk-averse optimization via CVaR#927748
- Standard Risk Aversion and the Demand for Risky Assets in the Presence of Background Risk#942776
- The Size of Background Risk and the Theory of Risk Bearing#942497
- Explanation through Reward Model Reconciliation using POMDP Tree Search#163973
Record · ID 1130716
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