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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

Vodang Dai

Other publications of authors with the same name

Episodic Self-Imitation Learning with Hindsight.T. Dai, H. Liu, and A. Bharath. CoRR, (2020)Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction.A. Zhu, T. Dai, G. Xu, P. Pauwels, B. de Vries, and M. Fang. IEEE Trans Autom. Sci. Eng., 20 (3): 1515-1526 (July 2023)Adaptive Intra-Group Aggregation for Co-Saliency Detection.G. Ren, T. Dai, and T. Stathaki. ICASSP, page 2520-2524. IEEE, (2022)Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection.T. Liu, J. Huang, T. Dai, G. Ren, and T. Stathaki. ICASSP, page 3867-3871. IEEE, (2020)Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation.W. Wu, T. Dai, X. Huang, F. Ma, and J. Xiao. CoRR, (2023)Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network.G. Ren, T. Dai, P. Barmpoutis, and T. Stathaki. CoRR, (2020)Deep Reinforcement Learning for Subpixel Neural Tracking.T. Dai, M. Dubois, K. Arulkumaran, J. Campbell, C. Bass, B. Billot, F. Uslu, V. Paola, C. Clopath, and A. Bharath. MIDL, volume 102 of Proceedings of Machine Learning Research, page 130-150. PMLR, (2019)Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay.T. Dai, H. Liu, K. Arulkumaran, G. Ren, and A. Bharath. PRICAI (3), volume 13033 of Lecture Notes in Computer Science, page 32-45. Springer, (2021)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)LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning.Y. Du, L. Han, M. Fang, J. Liu, T. Dai, and D. Tao. NeurIPS, page 4405-4416. (2019)

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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

Vodang 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

Vodang 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
EndNote
APA
Chicago
DIN 1505
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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation.