Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
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—The generation of device drivers is a very time consuming and error prone activity. All the strategies proposed up to now to simplify this operation require a manual, ev...