Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
True multi-user, multimodal interaction over a digital table lets co-located people simultaneously gesture and speak commands to control an application. We explore this design spa...
Edward Tse, Saul Greenberg, Chia Shen, Clifton For...
This paper presents a multiprocessor system on FPGA that adopts Direct Memory Access (DMA) mechanisms to move data between the external memory and the local memory of each process...
We discuss the design of the Intermediary Agent's brain, the control module of an embodied conversational virtual peer in a simulation game aimed at providing learning experi...
This paper approaches the issue of coordination of highly autonomous Automated Guided Vehicles (AGVs) working on an automated factory. These vehicles are used for goods delivery t...