Prasenjit Karmakar
Orcid: 0000-0002-7345-1406
According to our database1,
Prasenjit Karmakar
authored at least 25 papers
between 2015 and 2024.
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Bibliography
2024
GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments.
Inf., August, 2024
Pervasive Mob. Comput., 2024
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities.
CoRR, 2024
Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India.
CoRR, 2024
Multimodal Sensing for Predicting Real-time Biking Behavior based on Contextual Information.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Proceedings of the Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, 2024
2023
<i>AQuaMoHo</i>: Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer.
ACM Trans. Sens. Networks, August, 2023
Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction.
ACM Trans. Internet Things, February, 2023
CoRR, 2023
mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023
2022
Reliable Backhauling in Aerial Communication Networks Against UAV Failures: A Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., 2022
CoRR, 2022
CoRR, 2022
2021
Stochastic Approximation With Iterate-Dependent Markov Noise Under Verifiable Conditions in Compact State Space With the Stability of Iterates Not Ensured.
IEEE Trans. Autom. Control., 2021
On tight bounds for function approximation error in risk-sensitive reinforcement learning.
Syst. Control. Lett., 2021
Can I go for a roof walk today?: know your housing's air quality from a thermo-hygrometer.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021
2020
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning.
CoRR, 2020
Ad-hocBusPoI: Context Analysis of Ad-hoc Stay-locations from Intra-city Bus Mobility and Smartphone Crowdsensing.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020
2018
Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning.
Math. Oper. Res., 2018
2016
On a convergent off -policy temporal difference learning algorithm in on-line learning environment.
CoRR, 2016
A note on the function approximation error bound for risk-sensitive reinforcement learning.
CoRR, 2016
2015