Abstract: This paper considers centralized mission-planning for a heterogeneous multi-agent system with the aim of locating a hidden target. We propose a mixed observable setting, consisting of a ...

Eight innovative tools that are reimagining web applications and how we build them. Welcome to the Great Unbloating.

Deep Transformer Q-Network (DTQN) is an extension of DQN and DRQN designed to encode an agent's history effectively for solving partially observable reinforcement learning tasks. Our architecture is ...

Abstract: Multi-Agent Path Finding (MAPF) is a crucial component for many large-scale robotic systems, where agents must plan their collision-free paths to their given goal positions. Recently, ...

Vega Datasets is the centralized hub for over 70 datasets featured in the examples and documentation of Vega, Vega-Lite, Altair and related projects. A dataset catalog conforming to the Data Package ...

Results are filtered through the White House and must be approved by the President, raising questions about what the public sees ...