Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks. - Ramnandan Krishnamurthy; Aravind S. Lakshminarayanan; Peeyush Kumar; Balaraman Ravindran (CoRR, 2016)

Near Optimal Hamiltonian-Control and Learning via Chattering. - Peeyush Kumar; Wolf Kohn; Zelda B. Zabinsky (CoRR, 2017)

Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options. - Peeyush Kumar; Doina Precup (CoRR, 2017)

Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. - Peeyush Kumar; Ayushe Gangal; Sunita Kumari; Sunita Tiwari (Ingénierie des Systèmes d Inf., 2020)

Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. - Peeyush Kumar; Ranveer Chandra; Chetan Bansal; Shivkumar Kalyanaraman; Tanuja Ganu; Michael Grant (KDD, 2021)

Visage: enabling timely analytics for drone imagery. - Sagar Jha; Youjie Li; Shadi A. Noghabi; Vaishnavi Nattar Ranganathan; Peeyush Kumar; Andrew Nelson; Michael Toelle; Sudipta N. Sinha; Ranveer Chandra; Anirudh Badam (MobiCom, 2021)

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. - Peeyush Kumar; Ayushe Gangal; Sunita Kumari (CoRR, 2021)

Neural Computing. - Ayushe Gangal; Peeyush Kumar; Sunita Kumari; Aditya Kumar (CoRR, 2021)

Complete Scanning Application Using OpenCv. - Ayushe Gangal; Peeyush Kumar; Sunita Kumari (CoRR, 2021)

General sum stochastic games with networked information flows. - Sarah H. Q. Li; Lillian J. Ratliff; Peeyush Kumar (CoRR, 2022)

Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss. - Vaishnavi Nattar Ranganathan; Peeyush Kumar; Upinder Kaur; Sarah H. Q. Li; Tusher Chakraborty; Ranveer Chandra (IEEE Internet Things Mag., 2022)

Democratizing Data-Driven Agriculture Using Affordable Hardware. - Ranveer Chandra; Manohar Swaminathan 001; Tusher Chakraborty; Jian Ding; Zerina Kapetanovic; Peeyush Kumar; Deepak Vasisht (IEEE Micro, 2022)

Affordable Artificial Intelligence - Augmenting Farmer Knowledge with AI. - Peeyush Kumar; Andrew Nelson; Zerina Kapetanovic; Ranveer Chandra (CoRR, 2023)

Multi-market Energy Optimization with Renewables via Reinforcement Learning. - Lucien Werner; Peeyush Kumar (CoRR, 2023)

Reward Shaping via Diffusion Process in Reinforcement Learning. - Peeyush Kumar (CoRR, 2023)

Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains. - Ananta Mukherjee; Peeyush Kumar; Boling Yang; Nishanth Chandran; Divya Gupta 001 (CoRR, 2023)

Zero-shot Microclimate Prediction with Deep Learning. - Iman Deznabi; Peeyush Kumar; Madalina Fiterau (CoRR, 2024)

Economic Anthropology in the Era of Generative Artificial Intelligence. - Zachary Sheldon; Peeyush Kumar (CoRR, 2024)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models. - Kartik Sharma; Peeyush Kumar; Yunqing Li (CoRR, 2024)