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Towards robust and domain agnostic reinforcement learning competitions., , , , , , , , , and 19 other author(s). CoRR, (2021)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)MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned., , , , , , , , , and 12 other author(s). CoRR, (2022)Insights From the NeurIPS 2021 NetHack Challenge., , , , , , , , , and 19 other author(s). CoRR, (2022)BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks., , , , , and . CoRR, (2023)Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition., , , , , , , , , and 20 other author(s). CoRR, (2023)Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study., and . CoRR, (2023)MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned., , , , , , , , , and 12 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 13-28. PMLR, (2021)Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition., , , , , , , , , and 24 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 171-188. PMLR, (2021)Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 233-252. PMLR, (2020)