Multi-Agent Coordination: A Reinforcement Learning Approach also belongs on the bookshelves of anyone with an advanced interest in machine learning and artificial intelligence as it applies to the ...

Purdue’s innovative Master of Science in Artificial Intelligence prepares professionals for success ... Get your questions answered, receive application help, or plan your degree journey by speaking ...

The question is whether we’re getting the ominous Agent Smith from The Matrix or the human and approachable Agent J (Will ...

Multi-agent systems, human-robot interactions, game theoretic techniques, adversarial reasoning, machine learning, case-based reasoning, planning and scheduling ... of the American Association for ...

Introducing deadlines into pickup and delivery tasks of multi-agent systems Multi ... and task assignment and path planning were separated. We tested our model in two simulated warehouses: a 21 x 35 ...

This is a library written in Rust containing Artificial Intelligence algorithms - in particular those from the field of planning & reasoning. The goal is to support the following algorithms in the ...

These are the first AI systems that can speak with humans and each other conversationally, which may reduce some of the ...

The AI agents promise to be a significant evolution of Workday’s platform, but the company says its AI journey is still just ...

Some of the biggest opportunities in the market right now are artificial intelligence ... pointed to multiple examples where pilot testers were resolving 90% of cases with AI agents, well above ...