| Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023 | 720 | 2023 |
| MineRL: a large-scale dataset of minecraft demonstrations WH Guss*, B Houghton*, N Topin, P Wang, C Codel, M Veloso, ... IJCAI 2019, 2019 | 175 | 2019 |
| 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 | 170 | 2022 |
| 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 | 70 | 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 | 30* | 2020 |
| 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 | 27 | 2019 |
| 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 |
| The minerl 2020 competition on sample efficient reinforcement learning using human priors WH Guss, MY Castro, S Devlin, B Houghton, NS Kuno, C Loomis, S Milani, ... arXiv preprint arXiv:2101.11071, 2021 | 23 | 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 | 15 | 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 | 10 | 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 | 10 | 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 |
| GPT-4 Technical Report,(2023) OJ Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, ... URL https://api. semanticscholar. org/CorpusID 257532815, 0 | 8 | |
| ManuelaVeloso, andRuslanSalakhutdinov WH Guss, B Houghton, N Topin, P Wang, C Codel MineRL: ALargeScaleDatasetofMinecraft Demonstrations, 2019 | 3 | 2019 |
| 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 | 1 | 2024 |
| 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, I Akkaya, P Zhokhov, J Huizanga, J Tang, A Ecoffet, B Houghton, ... US Patent 11,887,367, 2024 | | 2024 |
| Towards robust and domain agnostic reinforcement learning competitions W Hebgen Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, ... arXiv e-prints, arXiv: 2106.03748, 2021 | | 2021 |
| Arrival Time Prediction B Houghton, K Yonekawa | | 2018 |
William H. GussGhost AIVerified email at cs.cmu.edu
