Dataset · Hugging Face

AILabDsUnipi/SafeQIL-dataset

Name: SafeQIL-dataset
Creator: AILabDsUnipi
License: mit
Keywords: task_categories:reinforcement-learning, license:mit, size_categories:100K<n<1M, arxiv:2602.23816, region:us, inverse-constrained-reinforcement-learning, safe-rl, q-learning, offline-rl, demonstrations

Human-Generated Demonstrations for Safe Reinforcement Learning Paper: Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective Code: AILabDsUnipi/SafeQIL Dataset Description This dataset consists of human-generated demonstrations collected across four challenging constrained environments from the Safety-Gymnasium benchmark (SafetyPointGoal1-v0, SafetyCarPush2-v0, SafetyPointCircle2-v0, and… See the full description on the dataset page: https://huggingface.co/datasets/AILabDsUnipi/SafeQIL-dataset.

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Author / organization	AILabDsUnipi
License (as declared)	mit
Downloads	1.3K (as reported by Hugging Face)
Likes	0
Created	3 March 2026
Last updated at source	17 March 2026

inverse-constrained-reinforcement-learningsafe-rlq-learningoffline-rldemonstrations

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