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."