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Praveen Palanisamy
Praveen Palanisamy
Lead Principal AI Engineer, Microsoft AI + Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Multi-agent connected autonomous driving using deep reinforcement learning
P Palanisamy
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
1432020
Attention-based Hierarchical Deep Reinforcement Learning for Lane Change Behaviors in Autonomous Driving
Y Chen, C Dong, P Palanisamy, P Mudalige, K Muelling, JM Dolan
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019
1042019
Multi-time-horizon solar forecasting using recurrent neural network
S Mishra, P Palanisamy
2018 IEEE Energy Conversion Congress and Exposition (ECCE), 18-24, 2018
632018
Automatically generated curriculum based reinforcement learning for autonomous vehicles in urban environment
Z Qiao, K Muelling, JM Dolan, P Palanisamy, P Mudalige
2018 IEEE Intelligent Vehicles Symposium (IV), 1233-1238, 2018
622018
Pomdp and hierarchical options mdp with continuous actions for autonomous driving at intersections
Z Qiao, K Muelling, J Dolan, P Palanisamy, P Mudalige
2018 21st International Conference on Intelligent Transportation Systems …, 2018
602018
Learning vehicle surrounding-aware lane-changing behavior from observed trajectories
S Su, K Muelling, J Dolan, P Palanisamy, P Mudalige
2018 IEEE Intelligent Vehicles Symposium (IV), 1412-1417, 2018
462018
Systems, methods and controllers for an autonomous vehicle that implement autonomous driver agents and driving policy learners for generating and improving policies based on …
P Palanisamy, UP Mudalige
US Patent 108,458,15, 2020
452020
Automated driving systems and control logic for cloud-based scenario planning of autonomous vehicles
P Palanisamy, SRJ Tafti, S Samii, MJ Huber
US Patent App. 15/920,810, 2019
372019
Hands-On Intelligent Agents with OpenAI Gym: Your guide to developing AI agents using deep reinforcement learning
P Palanisamy
Packt Publishing Ltd, 2018
322018
Systems, methods and controllers that implement autonomous driver agents and a policy server for serving policies to autonomous driver agents for controlling an autonomous vehicle
P Palanisamy, UP Mudalige
US Patent App. 16/048,157, 2020
282020
Learning on-road visual control for self-driving vehicles with auxiliary tasks
Y Chen, P Praveen, M Priyantha, K Muelling, J Dolan
2019 IEEE winter conference on applications of computer vision (WACV), 331-338, 2019
282019
Efficient power flow management and peak shaving in a microgrid-PV system
S Mishra, P Palanisamy
2018 IEEE Energy Conversion Congress and Exposition (ECCE), 3792-3798, 2018
282018
Systems and methods for autonomous vehicle behavior control
P Palanisamy, MJ Huber, UP Mudalige
US Patent 10,591,914, 2020
252020
Spatial and temporal attention-based deep reinforcement learning of hierarchical lane-change policies for controlling an autonomous vehicle
P Palanisamy, UP Mudalige, Y Chen, JM Dolan, K Muelling
US Patent 10,940,863, 2021
232021
System and method for end-to-end autonomous vehicle validation
UP Mudalige, W Tong, P Palanisamy
US Patent App. 15/886,129, 2019
202019
Method and system for executing a composite behavior policy for an autonomous vehicle
P Palanisamy
US Patent App. 16/354,522, 2020
142020
An integrated multi-time-scale modeling for solar irradiance forecasting using deep learning
S Mishra, P Palanisamy
arXiv preprint arXiv:1905.02616, 2019
132019
Autonomous driving decisions at intersections using hierarchical options markov decision process
P Palanisamy, Z Qiao, K Muelling, JM Dolan, UP Mudalige
US Patent App. 16/039,579, 2020
122020
Unsupervised learning agents for autonomous driving applications
P Palanisamy, UP Mudalige
US Patent 10,678,241, 2020
102020
Method and apparatus for automatically generated curriculum sequence based reinforcement learning for autonomous vehicles
P Palanisamy, Z Qiao, UP Mudalige, K Muelling, JM Dolan
US Patent 10,732,639, 2020
92020
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