Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
We study the use of a computer application, intended for Computer Assisted Language Learning (CALL). We present an analytical framework for CALL, consisting of technology, interac...
In the e-age, internet and e-affairs are the composite blend of business process and technology; the organization must retain the state of computing system or risk malicious assau...
Abstract. We present a study which compares human-human computermediated tutoring with two computer tutoring systems based on the same materials but differing in the type of feedba...
Myroslava Dzikovska, Natalie B. Steinhauser, Johan...