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Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

X. Zhu, Y. Chen, H. Tian, C. Tao, W. Su, C. Yang, G. Huang, B. Li, L. Lu, X. Wang, Y. Qiao, Z. Zhang, and J. Dai. CoRR, (2023)

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Tao Tao

Chenxin Zhang

Christina Taouss

Tao Huu Phung

Madelaine Taoubi

Other publications of authors with the same name

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information.W. Su, X. Zhu, C. Tao, L. Lu, B. Li, G. Huang, Y. Qiao, X. Wang, J. Zhou, and J. Dai. CoRR, (2022)Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.C. Tao, H. Wang, X. Zhu, J. Dong, S. Song, G. Huang, and J. Dai. CVPR, page 14411-14420. IEEE, (2022)BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.C. Yang, Y. Chen, H. Tian, C. Tao, X. Zhu, Z. Zhang, G. Huang, H. Li, Y. Qiao, L. Lu and 2 other author(s). CVPR, page 17830-17839. IEEE, (2023)Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.C. Tao, H. Wang, X. Zhu, J. Dong, S. Song, G. Huang, and J. Dai. CoRR, (2021)ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.C. Tian, C. Tao, J. Dai, H. Li, Z. Li, L. Lu, X. Wang, H. Li, G. Huang, and X. Zhu. CoRR, (2023)BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.C. Yang, Y. Chen, H. Tian, C. Tao, X. Zhu, Z. Zhang, G. Huang, H. Li, Y. Qiao, L. Lu and 2 other author(s). CoRR, (2022)Learning Channel-Wise Interactions for Binary Convolutional Neural Networks.Z. Wang, J. Lu, C. Tao, J. Zhou, and Q. Tian. CVPR, page 568-577. Computer Vision Foundation / IEEE, (2019)Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.W. Su, X. Zhu, C. Tao, L. Lu, B. Li, G. Huang, Y. Qiao, X. Wang, J. Zhou, and J. Dai. CVPR, page 15888-15899. IEEE, (2023)Siamese Image Modeling for Self-Supervised Vision Representation Learning.C. Tao, X. Zhu, W. Su, G. Huang, B. Li, J. Zhou, Y. Qiao, X. Wang, and J. Dai. CVPR, page 2132-2141. IEEE, (2023)Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.H. Li, C. Tao, X. Zhu, X. Wang, G. Huang, and J. Dai. CoRR, (2020)

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Disambiguation of "Tao, Chenxin"

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Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

Please choose a person to relate this publication to

Tao Tao

Chenxin Zhang

Christina Taouss

Tao Huu Phung

Madelaine Taoubi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tao, Chenxin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

Please choose a person to relate this publication to

Tao Tao

Chenxin Zhang

Christina Taouss

Tao Huu Phung

Madelaine Taoubi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.