Sledovat
Brandon Houghton
Brandon Houghton
E-mailová adresa ověřena na: cmu.edu
Název
Citace
Citace
Rok
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
14532023
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
1902022
MineRL: a large-scale dataset of minecraft demonstrations
WH Guss*, B Houghton*, N Topin, P Wang, C Codel, M Veloso, ...
IJCAI 2019, 2019
1832019
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
712019
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
482019
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
32*2020
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
262021
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
182021
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
13
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
102023
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
102021
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
102020
ManuelaVeloso, andRuslanSalakhutdinov
WH Guss, B Houghton, N Topin, P Wang, C Codel
MineRL: ALargeScaleDatasetofMinecraft Demonstrations, 2019
22019
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
12024
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
12021
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
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Články 1–18