6 citations · 10 across the 8 of their papers we have counts for
9 papers
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
Aditya Kapoor, Benjamin Freed, Howie Choset +1
Multi-agent proximal policy optimization (MAPPO) has recently demonstrated state-of-the-art performance on challenging multi-agent reinforcement learning tasks. However, MAPPO stil…
DeepClean: Integrated Distortion Identification and Algorithm Selection for Rectifying Image Corruptions
Aditya Kapoor, Harshad Khadilkar, Jayvardhana Gubbi
Distortion identification and rectification in images and videos is vital for achieving good performance in downstream vision applications. Instead of relying on fixed trial-and-er…
LLaMAR: Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have +10
The ability of Language Models (LMs) to understand natural language makes them a powerful tool for parsing human instructions into task plans for autonomous robots. Unlike traditio…
Concept-based Anomaly Detection in Retail Stores for Automatic Correction using Mobile Robots
Aditya Kapoor, Vartika Sengar, Nijil George +4
Tracking of inventory and rearrangement of misplaced items are some of the most labor-intensive tasks in a retail environment. While there have been attempts at using vision-based…
SocNavGym: A Reinforcement Learning Gym for Social Navigation
Aditya Kapoor, Sushant Swamy, Luis Manso +1
It is essential for autonomous robots to be socially compliant while navigating in human-populated environments. Machine Learning and, especially, Deep Reinforcement Learning have…
Auto-TransRL: Autonomous Composition of Vision Pipelines for Robotic Perception
Aditya Kapoor, Nijil George, Vartika Sengar +2
Creating a vision pipeline for different datasets to solve a computer vision task is a complex and time consuming process. Currently, these pipelines are developed with the help of…
Challenges in Applying Robotics to Retail Store Management
Vartika Sengar, Aditya Kapoor, Nijil George +4
An autonomous retail store management system entails inventory tracking, store monitoring, and anomaly correction. Recent attempts at autonomous retail store management have faced…
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling
Benjamin Freed, Aditya Kapoor, Ian Abraham +2
One of the preeminent obstacles to scaling multi-agent reinforcement learning to large numbers of agents is assigning credit to individual agents' actions. In this paper, we addres…
A Toolkit to Generate Social Navigation Datasets
Rishabh Baghel, Aditya Kapoor, Pilar Bachiller +3
Social navigation datasets are necessary to assess social navigation algorithms and train machine learning algorithms. Most of the currently available datasets target pedestrians'…