The paper addresses the problem of supervising the execution of a multi-agent plan (MAP), where actions are executed concurrently by a team of cooperating agents in a partially observable environment. Because of the cooperation among agents, the failure of the action of an agent may impact also the execution of the plans assigned to other agents. The paper formalizes a distributed approach to a...

Learning through self-exploration and imitation are crucial mechanisms in developing sensorimotor skills for human infants. In our previous work, we showed that a robot can self-discover behavior primitives and learn object affordances similar to infants. Then building predictive mechanisms at the affordance level allowed movement planning and simple goal-level imitation on our robot. The work ...

We propose a Multiscale Locality-Constrained Spatiotemporal Coding (MLSC) method to improve the traditional bag of features (BoF) algorithm which ignores the spatiotemporal relationship of local features for human action recognition in video. To model this spatiotemporal relationship, MLSC involves the spatiotemporal position of local feature into feature coding processing. It projects local fe...

Partially observable Markov decision processes (POMDP) can be used as a model for planning in stochastic domains. This paper considers the problem of computing optimal policies for nite horizon POMDPs. In deciding on an action to take, an agent is not only concerned with how the action would a ect the current time point, but also its impacts on the rest of the planning horizon. In a POMDP, the ...

The negative impact of the HIV/AIDS epidemic has been a major challenge to sub-Saharan Africa. Although the rate of new HIV infections in sub-continent has decreased, the total number of people living with HIV continues to rise. Most of the people infected with HIV/AIDS in sub-Saharan Africa are within the age bracket of 15 to 35 years. It has been estimated that about 80% of the infected group...