Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 7842 | 2023 |
Video pretraining (vpt): Learning to act by watching unlabeled online videos B Baker, I Akkaya, P Zhokov, J Huizinga, J Tang, A Ecoffet, B Houghton, ... Advances in Neural Information Processing Systems 35, 24639-24654, 2022 | 288 | 2022 |
MineRL: a large-scale dataset of minecraft demonstrations WH Guss*, B Houghton*, N Topin, P Wang, C Codel, M Veloso, ... IJCAI 2019, 2019 | 237 | 2019 |
Gpt-4 technical report, 2024 S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... URL https://arxiv. org/abs/2303.08774 2, 6, 2024 | 79 | 2024 |
Gpt-4 technical report, 2024 JA OpenAI, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, ... URL https://arxiv. org/abs/2303.08774 2, 6, 2024 | 77 | 2024 |
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors WH Guss, C Codel, K Hofmann, B Houghton, N Kuno, S Milani, ... NeruIPS Competition Track, 2019 | 76 | 2019 |
GPT-4 technical report (2023) J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... URL https://api. semanticscholar. org/CorpusID 257532815, 2023 | 60 | 2023 |
The MineRL 2019 competition on sample efficient reinforcement learning using human priors WH Guss, C Codel, K Hofmann, B Houghton, N Kuno, S Milani, ... arXiv preprint arXiv:1904.10079, 2019 | 58 | 2019 |
Retrospective analysis of the 2019 MineRL competition on sample efficient reinforcement learning S Milani, N Topin, B Houghton, WH Guss, SP Mohanty, K Nakata, ... NeurIPS 2019 competition and demonstration track, 203-214, 2020 | 34* | 2020 |
Openai o1 system card A Jaech, A Kalai, A Lerer, A Richardson, A El-Kishky, A Low, A Helyar, ... arXiv preprint arXiv:2412.16720, 2024 | 27 | 2024 |
The MineRL BASALT competition on learning from human feedback R Shah, C Wild, SH Wang, N Alex, B Houghton, W Guss, S Mohanty, ... arXiv preprint arXiv:2107.01969, 2021 | 26 | 2021 |
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft I Kanitscheider, J Huizinga, D Farhi, WH Guss, B Houghton, R Sampedro, ... arXiv preprint arXiv:2106.14876, 2021 | 20 | 2021 |
Towards solving fuzzy tasks with human feedback: A retrospective of the minerl basalt 2022 competition S Milani, A Kanervisto, K Ramanauskas, S Schulhoff, B Houghton, ... arXiv preprint arXiv:2303.13512, 2023 | 14 | 2023 |
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020 WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... NeurIPS 2020 Competition and Demonstration Track, 233-252, 2021 | 14 | 2021 |
Guaranteeing reproducibility in deep learning competitions B Houghton, S Milani, N Topin, W Guss, K Hofmann, D Perez-Liebana, ... arXiv preprint arXiv:2005.06041, 2020 | 10 | 2020 |
BEDD: the MineRL BASALT evaluation and demonstrations dataset for training and benchmarking agents that solve fuzzy tasks S Milani, A Kanervisto, K Ramanauskas, S Schulhoff, B Houghton, ... Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
ManuelaVeloso, andRuslanSalakhutdinov WH Guss, B Houghton, N Topin, P Wang, C Codel MineRL: ALargeScaleDatasetofMinecraft Demonstrations, 2019 | 3 | 2019 |
Towards robust and domain agnostic reinforcement learning competitions WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... arXiv preprint arXiv:2106.03748, 2021 | 1 | 2021 |
Using machine learning to train and use a model to perform automatic interface actions based on video and input datasets B Baker, P Zhokhov, J Huizinga, J Tang, A Ecoffet, B Houghton, ... US Patent App. 18/545,722, 2024 | | 2024 |
Using machine learning to train and use a model to perform automatic interface actions based on video and input datasets B Baker, I Akkaya, P Zhokhov, J Huizanga, J Tang, A Ecoffet, B Houghton, ... US Patent 11,887,367, 2024 | | 2024 |