Srinivas grew up in a middle-class Indian family and was inspired by his mother to aim for the Indian Institute of Technology ...

Abstract: Efficient multi-agent path finding (MAPF) is essential for large-scale warehousing and logistics systems. Despite the potential of reinforcement learning (RL) methods, current approaches ...

Artificial Intelligence has taken center stage in today's world. It is now deeply embedded across the modern workforce, ...

Which IIT First introduced B.Tech in Artificial Intelligence? Discover how this IIT changed engineering careers, and how it ...

Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you through how an algorithm interacts with an environment, learns through trial ...

As organizations plan for 2026, a clear structural shift is emerging in how technical talent is valued and deployed. Amid this shift, Interview Kickstart has introduced an advanced machine learning ...

SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...