Nikhilesh Sharma

According to our database, Nikhilesh Sharma authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Hardware Acceleration for Postdecision State Reinforcement Learning in IoT Systems.

Jianchi Sun, Nikhilesh Sharma, Jacob Chakareski, Nicholas Mastronarde, Yingjie Lao

IEEE Internet Things J., 2022

2021

Improving Data-Driven Reinforcement Learning in Wireless IoT Systems Using Domain Knowledge.

Nicholas Mastronarde, Nikhilesh Sharma, Jacob Chakareski

IEEE Commun. Mag., 2021

2020

Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors.

Nikhilesh Sharma, Nicholas Mastronarde, Jacob Chakareski

IEEE Trans. Signal Process., 2020

Delay-Sensitive Energy-Harvesting Wireless Sensors: Optimal Scheduling, Structural Properties, and Approximation Analysis.

Nikhilesh Sharma, Nicholas Mastronarde, Jacob Chakareski

IEEE Trans. Commun., 2020

Deep Reinforcement Learning for Delay-Sensitive LTE Downlink Scheduling.

Nikhilesh Sharma, Sen Zhang, Someshwar Rao Somayajula Venkata, Filippo Malandra, Nicholas Mastronarde, Jacob Chakareski

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Action Evaluation Hardware Accelerator for Next-Generation Real-Time Reinforcement Learning in Emerging IoT Systems.

Jianchi Sun, Nikhilesh Sharma, Jacob Chakareski, Nicholas Mastronarde, Yingjie Lao

Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020

2018

Structural Properties of Optimal Transmission Policies for Delay-Sensitive Energy Harvesting Wireless Sensors.

Nikhilesh Sharma, Nicholas Mastronarde, Jacob Chakareski

Proceedings of the 2018 IEEE International Conference on Communications, 2018