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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.

T. Dai, K. Arulkumaran, S. Tukra, F. Behbahani, and A. Bharath. CoRR, (2019)

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Jing Dai

Huangdong Dai

Yangguang Dai

Min Dai

Pengyu Dai

Other publications of authors with the same name

Image Synthesis with a Convolutional Capsule Generative Adversarial Network.C. Bass, T. Dai, B. Billot, K. Arulkumaran, A. Creswell, C. Clopath, V. Paola, and A. Bharath. MIDL, volume 102 of Proceedings of Machine Learning Research, page 39-62. PMLR, (2019)A novel two-stage method of plant seedlings classification based on deep learning.T. Dai, S. Cong, J. Huang, Y. Zhang, X. Huang, Q. Xie, C. Sun, and K. Li. J. Intell. Fuzzy Syst., 42 (3): 2181-2191 (2022)Cross Domain Policy Transfer with Effect Cycle-Consistency.R. Zhu, T. Dai, and O. Çeliktutan. CoRR, (2024)Progressive multi-scale fusion network for RGB-D salient object detection.G. Ren, Y. Xie, T. Dai, and T. Stathaki. Comput. Vis. Image Underst., (2022)Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection.G. Ren, Y. Xie, T. Dai, and T. Stathaki. CoRR, (2021)Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling.T. Liu, W. Luo, L. Ma, J. Huang, T. Stathaki, and T. Dai. CoRR, (2019)Analysing deep reinforcement learning agents trained with domain randomisation.T. Dai, K. Arulkumaran, T. Gerbert, S. Tukra, F. Behbahani, and A. Bharath. Neurocomputing, (2022)LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning.T. Tomilin, T. Dai, M. Fang, and M. Pechenizkiy. CoG, page 72-79. IEEE, (2022)Application of IMVR Convolutional Neural Networks to Classification of Land Use Remote Sensing Datasets.Y. Shuai, N. Xin, M. Hasan, B. Hu, T. Dai, and H. Liu. CyberC, page 27-31. IEEE, (2023)Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation.W. Wu, T. Dai, X. Huang, F. Ma, and J. Xiao. CoRR, (2023)

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Disambiguation of "Dai, Tianhong"

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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.

Please choose a person to relate this publication to

Jing Dai

Huangdong Dai

Yangguang Dai

Min Dai

Pengyu Dai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dai, Tianhong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.

Please choose a person to relate this publication to

Jing Dai

Huangdong Dai

Yangguang Dai

Min Dai

Pengyu Dai

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.