Bielefeld Pub
metadata only
Mastering Uncertainty with a Sense of Control: Incorporating a Human-Based Sense of Control in Reinforcement Learning Agents for Uncertain Dynamic Environments
Österdiekhoff A. Mastering Uncertainty with a Sense of Control: Incorporating a Human-Based Sense of Control in Reinforcement Learning Agents for Uncertain Dynamic Environments.; Unpublished.
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
- Mastering Uncertainty with a Sense of Control. Incorporating a Human-Based Sense of Control in Reinforcement Learning Agents for Uncertain Dynamic Environments#68497
- Pilot Study of an Extended CBT Group Intervention for Intolerance of Uncertainty#1075818
- Estimation of Strong Ground Motion: Aleatory Variability and Epistemic Uncertainty#420197
- Affective Control under Uncertainty: Constitutive Viability and Self-Model Recruitment in Artificial Systems#111731
- How can perceptual experiences explain uncertainty?#767809
Record · ID 965666
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