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MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research., , , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Replay-Guided Adversarial Environment Design., , , , , and . NeurIPS, page 1884-1897. (2021)Improving Intrinsic Exploration with Language Abstractions., , , , , , and . NeurIPS, (2022)Grounding Aleatoric Uncertainty for Unsupervised Environment Design., , , , , , , and . NeurIPS, (2022)Exploration via Elliptical Episodic Bonuses., , , and . NeurIPS, (2022)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 41-52. PMLR, (2021)Learning to Act without Actions., and . ICLR, OpenReview.net, (2024)Multi-Agent Diagnostics for Robustness via Illuminated Diversity., , , , and . AAMAS, page 1630-1644. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 12972-12999. PMLR, (2023)Grounding Aleatoric Uncertainty in Unsupervised Environment Design., , , , , , , and . CoRR, (2022)