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clarification guided reward learning · ethanvillalovoz

Simulation research on reward learning from human state corrections and clarification.

bayesian-inferenceclarification-questionshuman-robot-interactionreward-learningrobotics
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Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

Simulation research on reward learning from human state corrections and clarification.

Publisher summary: “Tested simulation of clarification-guided reward learning from human state corrections, developed during CMU RISS.”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
ethanvillalovoz
Primary language
Python
Repository code license
MIT
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2026-07-20

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • Clarification-Guided Reward Learning
  • Research Status
  • Research Question
  • Method
  • Illustrative Output
  • Reproduce It

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