3 papers
cs.LG2026
Deterministic Pareto-Optimal Policy Synthesis for Multi-Objective Reinforcement Learning
Aniruddha Joshi, Niklas Lauffer, Sanjit Seshia
Real-world decision-making often requires balancing multiple conflicting objectives, a challenge that standard Reinforcement Learning (RL) frequently addresses by aggregating rewar…
cs.CV2025
Uncertainty-Aware Post-Detection Framework for Enhanced Fire and Smoke Detection in Compact Deep Learning Models
Aniruddha Srinivas Joshi, Godwyn James William, Shreyas Srinivas Joshi
Accurate fire and smoke detection is critical for safety and disaster response, yet existing vision-based methods face challenges in balancing efficiency and reliability. Compact d…
cs.AI2025
Reinforcement Learning-Enhanced Procedural Generation for Dynamic Narrative-Driven AR Experiences
Aniruddha Srinivas Joshi
Procedural Content Generation (PCG) is widely used to create scalable and diverse environments in games. However, existing methods, such as the Wave Function Collapse (WFC) algorit…