Stochastic Image Compression Using Fractals. - Aditya Kapoor; Kush Arora; Ajai Jain; G. P. Kapoor (ITCC, 2003)

Effect of a colour-based descriptor and stimuli presentation mode in unsupervised categorization. - Sujith Thomas; Aditya Kapoor; Narayanan Srinivasan 001 (CogSci, 2020)

A Toolkit to Generate Social Navigation Datasets. - Rishabh Baghel; Aditya Kapoor; Pilar Bachiller; Ronit R. Jorvekar; Daniel Rodriguez-Criado; Luis J. Manso (WAF, 2020)

Supervised category learning: When do participants use a partially diagnostic feature? - Sujith Thomas; Aditya Kapoor; Narayanan Srinivasan 001 (CogSci, 2021)

Challenges in Applying Robotics to Retail Store Management. - Vartika Sengar; Aditya Kapoor; Nijil George; Vighnesh Vatsal; Jayavardhana Gubbi; Balamuralidhar P; Arpan Pal 001 (CoRR, 2022)

Auto-TransRL: Autonomous Composition of Vision Pipelines for Robotic Perception. - Aditya Kapoor; Nijil George; Vartika Sengar; Vighnesh Vatsal; Jayavardhana Gubbi (CoRR, 2022)

Learning Cooperative Multi-Agent Policies With Partial Reward Decoupling. - Benjamin Freed; Aditya Kapoor; Ian Abraham; Jeff G. Schneider; Howie Choset (IEEE Robotics Autom. Lett., 2022)

Sky Sweeper: A Drone Survelliance Model Using YOLOV8 and Jetson Nano for Plastic Waste Monitoring System. - Salomi Samsudeen; Syed Faizan Faiz; Aditya Kapoor; Saket Gudimella; Kirushakkarasu; Anas Y (IC3I, 2023)

SocNavGym: A Reinforcement Learning Gym for Social Navigation. - Aditya Kapoor; Sushant Swamy; Pilar Bachiller; Luis J. Manso (RO-MAN, 2023)

Concept-Based Anomaly Detection in Retail Stores for Automatic Correction Using Mobile Robots. - Aditya Kapoor; Vartika Sengar; Nijil George; Vighnesh Vatsal; Jayavardhana Gubbi; Balamuralidhar P; Arpan Pal 001 (SMC, 2023)

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments. - Siddharth Nayak; Adelmo Morrison Orozco; Marina Ten Have; Jackson Zhang; Vittal Thirumalai; Darren Chen; Aditya Kapoor; Eric Robinson; Karthik Gopalakrishnan 002; James Harrison; Anuj Mahajan; Brian Ichter; et al. (NeurIPS, 2024)

Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization. - Aditya Kapoor; Benjamin Freed; Jeff Schneider 001; Howie Choset (RLJ, 2024)

DeepClean: Integrated Distortion Identification and Algorithm Selection for Rectifying Image Corruptions. - Aditya Kapoor; Harshad Khadilkar; Jayavardhana Gubbi (CoRR, 2024)

Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. - Aditya Kapoor; Sushant Swamy; Kale-ab Abebe Tessera; Mayank Baranwal; Mingfei Sun 001; Harshad Khadilkar; Stefano V. Albrecht (CoRR, 2024)

TAR2: Temporal-Agent Reward Redistribution for Optimal Policy Preservation in Multi-Agent Reinforcement Learning. - Aditya Kapoor; Kale-ab Abebe Tessera; Mayank Baranwal; Harshad Khadilkar; Stefano V. Albrecht; Limin Sun 001 (CoRR, 2025)

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning. - Beining Zhang; Aditya Kapoor; Mingfei Sun 001 (CoRR, 2025)