3 papers
cs.LG2026
Discovering Reinforcement Learning Interfaces with Large Language Models
Akshat Singh Jaswal, Ashish Baghel, Paras Chopra
Reinforcement learning systems rely on environment interfaces that specify observations and reward functions, yet constructing these interfaces for new tasks often requires substan…
cs.AI2026
See, Symbolize, Act: Grounding VLMs with Spatial Representations for Better Gameplay
Ashish Baghel, Paras Chopra
Vision-Language Models (VLMs) excel at describing visual scenes, yet struggle to translate perception into precise, grounded actions. We investigate whether providing VLMs with bot…
cs.CR2026
AWE: Adaptive Agents for Dynamic Web Penetration Testing
Akshat Singh Jaswal, Ashish Baghel
Modern web applications are increasingly produced through AI-assisted development and rapid no-code deployment pipelines, widening the gap between accelerating software velocity an…