Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
There is a large disparity between the rich physical interfaces of co-located arcade games and the generic input devices seen in most home console systems. In this paper we argue ...
Edward Tse, Saul Greenberg, Chia Shen, Clifton For...
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...
Simulation beginners often spend a great amount of time to accumulate the knowledge as well as the experience to overcome the technical complexity of computer simulation. Limited ...
Research efforts focused on developing "active reports" are currently underway. Active reports are designed to foster communication among teachers, students, and parents ...
Diego Zapata-Rivera, Eric G. Hansen, Valerie J. Sh...