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ORCIDAditya Kapoor
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2020 – today
- 2024
[j2]Aditya Kapoor, Benjamin Freed, Jeff Schneider, Howie Choset:
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization. RLJ 1: 380-399 (2024)- [i9]Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have, Vittal Thirumalai, Jackson Zhang, Darren Chen, Aditya Kapoor, Eric Robinson, Karthik Gopalakrishnan, James Harrison, Brian Ichter, Anuj Mahajan, Hamsa Balakrishnan:
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments. CoRR abs/2407.10031 (2024) - [i8]Aditya Kapoor, Harshad Khadilkar, Jayavardhana Gubbi:
DeepClean: Integrated Distortion Identification and Algorithm Selection for Rectifying Image Corruptions. CoRR abs/2407.16302 (2024) - [i7]Aditya Kapoor, Benjamin Freed, Howie Choset, Jeff G. Schneider:
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization. CoRR abs/2408.04295 (2024) - 2023
- [c7]Salomi Samsudeen, Syed Faizan Faiz, Aditya Kapoor, Saket Gudimella, Kirushakkarasu, Anas Y:
Sky Sweeper: A Drone Survelliance Model Using YOLOV8 and Jetson Nano for Plastic Waste Monitoring System. IC3I 2023: 2403-2407 - [c6]Aditya Kapoor, Sushant Swamy, Pilar Bachiller, Luis J. Manso
:
SocNavGym: A Reinforcement Learning Gym for Social Navigation. RO-MAN 2023: 2010-2017 - [c5]Aditya Kapoor, Vartika Sengar, Nijil George, Vighnesh Vatsal, Jayavardhana Gubbi, Balamuralidhar P, Arpan Pal:
Concept-Based Anomaly Detection in Retail Stores for Automatic Correction Using Mobile Robots. SMC 2023: 163-170 - [i6]Aditya Kapoor, Sushant Swamy, Luis Manso, Pilar Bachiller:
SocNavGym: A Reinforcement Learning Gym for Social Navigation. CoRR abs/2304.14102 (2023) - [i5]Aditya Kapoor, Vartika Sengar, Nijil George, Vighnesh Vatsal, Jayavardhana Gubbi, Balamuralidhar P, Arpan Pal:
Concept-based Anomaly Detection in Retail Stores for Automatic Correction using Mobile Robots. CoRR abs/2310.14063 (2023) - 2022
- [j1]Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff G. Schneider, Howie Choset:
Learning Cooperative Multi-Agent Policies With Partial Reward Decoupling. IEEE Robotics Autom. Lett. 7(2): 890-897 (2022) - [i4]Vartika Sengar, Aditya Kapoor, Nijil George, Vighnesh Vatsal, Jayavardhana Gubbi, Balamuralidhar P, Arpan Pal:
Challenges in Applying Robotics to Retail Store Management. CoRR abs/2208.09020 (2022) - [i3]Aditya Kapoor, Nijil George, Vartika Sengar, Vighnesh Vatsal, Jayavardhana Gubbi:
Auto-TransRL: Autonomous Composition of Vision Pipelines for Robotic Perception. CoRR abs/2209.02991 (2022) - 2021
- [c4]Sujith Thomas, Aditya Kapoor, Narayanan Srinivasan:
Supervised category learning: When do participants use a partially diagnostic feature? CogSci 2021 - [i2]Benjamin Freed, Aditya Kapoor, Ian Abraham, Jeff G. Schneider, Howie Choset:
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling. CoRR abs/2112.12740 (2021) - 2020
- [c3]Sujith Thomas, Aditya Kapoor, Narayanan Srinivasan:
Effect of a colour-based descriptor and stimuli presentation mode in unsupervised categorization. CogSci 2020 - [c2]Rishabh Baghel, Aditya Kapoor, Pilar Bachiller, Ronit R. Jorvekar, Daniel Rodriguez-Criado, Luis J. Manso:
A Toolkit to Generate Social Navigation Datasets. WAF 2020: 180-193 - [i1]Rishabh Baghel, Aditya Kapoor, Pilar Bachiller, Ronit R. Jorvekar, Daniel Rodriguez-Criado, Luis J. Manso:
A Toolkit to Generate Social Navigation Datasets. CoRR abs/2009.05345 (2020)
2000 – 2009
- 2003
- [c1]Aditya Kapoor, Kush Arora, Ajai Jain, G. P. Kapoor:
Stochastic Image Compression Using Fractals. ITCC 2003: 574-
Coauthor Index
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