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Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

R. Zheng, Y. Liang, X. Wang, S. Ma, H. III, H. Xu, J. Langford, P. Palanisamy, K. Basu, and F. Huang. CoRR, (2024)

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Balaji Palanisamy

Praveen Konidala

Paurush Praveen

Praveen Seshadri

Praveen Kulkarni

Other publications of authors with the same name

Efficient Power Flow Management and Peak Shaving in a Microgrid-PV System.S. Mishra, and P. Palanisamy. CoRR, (2018)Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks.Y. Chen, P. Palanisamy, P. Mudalige, K. Muelling, and J. Dolan. CoRR, (2018)POMDP and Hierarchical Options MDP with Continuous Actions for Autonomous Driving at Intersections.Z. Qiao, K. Muelling, J. Dolan, P. Palanisamy, and P. Mudalige. ITSC, page 2377-2382. IEEE, (2018)Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning.P. Palanisamy. CoRR, (2019)Attention-based Hierarchical Deep Reinforcement Learning for Lane Change Behaviors in Autonomous Driving.Y. Chen, C. Dong, P. Palanisamy, P. Mudalige, K. Muelling, and J. Dolan. IROS, page 3697-3703. IEEE, (2019)Multi-time-horizon Solar Forecasting Using Recurrent Neural Network.S. Mishra, and P. Palanisamy. CoRR, (2018)Automatically Generated Curriculum based Reinforcement Learning for Autonomous Vehicles in Urban Environment.Z. Qiao, K. Muelling, J. Dolan, P. Palanisamy, and P. Mudalige. Intelligent Vehicles Symposium, page 1233-1238. IEEE, (2018)Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.R. Zheng, Y. Liang, X. Wang, S. Ma, H. III, H. Xu, J. Langford, P. Palanisamy, K. Basu, and F. Huang. CoRR, (2024)Learning Vehicle Surrounding-aware Lane-changing Behavior from Observed Trajectories.S. Su, K. Muelling, J. Dolan, P. Palanisamy, and P. Mudalige. Intelligent Vehicles Symposium, page 1412-1417. IEEE, (2018)Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy.M. Sabet, P. Palanisamy, and S. Mishra. CoRR, (2022)

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Disambiguation of "Palanisamy, Praveen"

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Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

Please choose a person to relate this publication to

Balaji Palanisamy

Praveen Konidala

Paurush Praveen

Praveen Seshadri

Praveen Kulkarni

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Palanisamy, Praveen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.

Please choose a person to relate this publication to

Balaji Palanisamy

Praveen Konidala

Paurush Praveen

Praveen Seshadri

Praveen Kulkarni

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

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.