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Initial release: UGTC - Uncertainty-Gated Temporal Credit
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cff-version: 1.2.0
message: "If you use UGTC in your research, please cite it using this metadata."
type: software
title: "UGTC: Uncertainty-Gated Temporal Credit"
abstract: >
UGTC is a backbone-agnostic advantage estimator for actor-critic reinforcement
learning. It maintains dual critics with different GAE lambda values and blends
their estimates using a sigmoid uncertainty gate driven by ensemble disagreement,
resolving the bias-variance trade-off in temporal credit assignment.
authors:
- family-names: Dalar
given-names: Yağız Ekrem
affiliation: "Ethosoft AI"
repository-code: "https://github.com/ethosoftai/ugtc"
url: "https://ethosoftai.github.io/ugtc"
license: MIT
version: "1.0.0"
date-released: "2026-06-15"
doi: "10.5281/zenodo.19715116"
keywords:
- reinforcement learning
- advantage estimation
- temporal credit assignment
- uncertainty quantification
- actor-critic
- PPO
- TD3
- SAC
- DDPG
- ensemble methods
preferred-citation:
type: article
authors:
- family-names: Dalar
given-names: Yağız Ekrem
affiliation: "Ethosoft AI"
title: "UGTC: Uncertainty-Gated Temporal Credit"
year: 2026
journal: "Ulysseus Young Explorers in Science (UYES)"
doi: "10.5281/zenodo.19715116"
url: "https://doi.org/10.5281/zenodo.19715116"
note: "Journal DOI forthcoming upon publication."