Abstract: Multi-Agent Path Finding (MAPF) has been widely studied in recent years. However, most existing MAPF algorithms assume that an agent occupies only a single cell in a grid-based map. This ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Siddhesh Surve is an accomplished Engineering leader with topics of interest including AI, ML, DS, DE, Cloud compute.

This video reveals 21 brand-new hacks designed to make everyday life easier. Each tip focuses on saving time, effort, or frustration. The ideas are practical, simple, and surprisingly effective. Most ...

a data analyst using technology AI for working tool for data analysis Chatbot Chat with AI, using technology smart robot AI, artificial intelligence to generate something or Help solve work problems.

In this work, we frame PDE solving as tool invocation via LLM-driven agents and introduce PDE-Agent, the first toolchain-augmented multiagent collaboration framework, inheriting the reasoning capacity ...