Peeyush Kumar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Stochastic Games

Reinforcement Learning

Temporal Difference Learning

Top Venues

Publications

Iman Deznabi, Peeyush Kumar, Madalina Fiterau
Zero-shot Microclimate Prediction with Deep Learning. CoRR (2024)
Peeyush Kumar, Andrew Nelson, Zerina Kapetanovic, Ranveer Chandra
Affordable Artificial Intelligence - Augmenting Farmer Knowledge with AI. CoRR (2023)
Ananta Mukherjee, Peeyush Kumar, Boling Yang, Nishanth Chandran, Divya Gupta
Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains. CoRR (2023)
Peeyush Kumar
Reward Shaping via Diffusion Process in Reinforcement Learning. CoRR (2023)
Lucien Werner, Peeyush Kumar
Multi-market Energy Optimization with Renewables via Reinforcement Learning. CoRR (2023)
Ranveer Chandra, Manohar Swaminathan, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
Democratizing Data-Driven Agriculture Using Affordable Hardware. IEEE Micro 42 (1) (2022)
Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar
General sum stochastic games with networked information flows. CoRR (2022)
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah H. Q. Li, Tusher Chakraborty, Ranveer Chandra
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss. IEEE Internet Things Mag. 5 (1) (2022)
Peeyush Kumar, Ayushe Gangal, Sunita Kumari
WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays. CoRR (2021)
Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar
Neural Computing. CoRR (2021)
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. KDD (2021)
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta N. Sinha, Ranveer Chandra, Anirudh Badam
Visage: enabling timely analytics for drone imagery. MobiCom (2021)
Ayushe Gangal, Peeyush Kumar, Sunita Kumari
Complete Scanning Application Using OpenCv. CoRR (2021)
Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Sunita Tiwari
Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. CoRR (2021)
Peeyush Kumar, Ayushe Gangal, Sunita Kumari
Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. Ingénierie des Systèmes d Inf. 25 (5) (2020)
Peeyush Kumar, Doina Precup
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options. CoRR (2017)
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
Near Optimal Hamiltonian-Control and Learning via Chattering. CoRR (2017)
Ramnandan Krishnamurthy, Aravind S. Lakshminarayanan, Peeyush Kumar, Balaraman Ravindran
Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks. CoRR (2016)