Much research in artificial intelligence is concerned with the development of autonomous
agents that can interact effectively with other agents. An important aspect of such agents is …

Mental healthcare of elderly people is a common problem in advanced countries. Recently,
high technology has developed robots for use not only in factories but also for our living …

Recent progress in the field of reinforcement learning has been accelerated by virtual
learning environments such as video games, where novel algorithms and ideas can be …

We describe a framework for research and evaluation in Embodied AI. Our proposal is
based on a canonical task: Rearrangement. A standard task can focus the development of …

Abstract Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than
two decades. DAI is concerned with systems that consist of multiple independent entities that …

Robot therapy for elderly residents in a care house has been conducted since June 2005.
Two therapeutic robots were introduced into a care facility, and activated for over 9 h each …

Many AI researchers are today striving to build agent teams for complex, dynamic multi-
agent domains, with intended applications in arenas such as education, training …

The early promise of the impact of machine intelligence did not involve the partitioning of the
nascent field of Artificial Intelligence. The founders of AI envisioned the notion of embedded …

RoboCup simulated soccer presents many challenges to reinforcement learning methods,
including a large state space, hidden and uncertain state, multiple independent agents …

Reinforcement Learning has long been employed to solve sequential decision-making
problems with minimal input data. However, the classical approach requires a large number …