3 papers
cs.SE2026
AI Assurance: A Comprehensive Testing Strategy for Enterprise AI Systems
Chitra Badagi, Divye Singh, Animesh Sen +1
Enterprise AI systems, built on large language models, retrieval pipelines and autonomous agents, introduce a class of risks that traditional software quality assurance was never d…
cs.RO2024
BAMAX: Backtrack Assisted Multi-Agent Exploration using Reinforcement Learning
Geetansh Kalra, Amit Patel, Atul Chaudhari +1
Autonomous robots collaboratively exploring an unknown environment is still an open problem. The problem has its roots in coordination among non-stationary agents, each with only a…
cs.AI2024
RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm
Geetansh Kalra, Divye Singh, Justin Jose
Reinforcement Learning (RL) is a rapidly growing area of machine learning that finds its application in a broad range of domains, from finance and healthcare to robotics and gaming…