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 "id": "autorl-org/Risk-aware_ARLbench",
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 "name": "Risk-aware_ARLbench",
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 "last_modified": "2026-07-30T09:18:07.000Z",
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 "citation": "@inproceedings{che2026erahbo,\n  title         = {Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL},\n  author        = {Che, Mingxuan and Tseng, Tsung-Yuan and Eimer, Theresa and Lindauer, Marius and von Rohr, Alexander},\n  booktitle     = {Reinforcement Learning Conference (RLC)},\n  year          = {2026},\n  note          = {To appear},\n  eprint        = {2607.26680},\n  archivePrefix = {arXiv},\n  url           = {https://arxiv.org/abs/2607.26680}\n}",
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