strategic coalition is a model for regional development and new regionalism. in this process, multinational corporation has basic role for economic partnership with national and regional countries. this trend have been for in formed free trade association situation. regional organizations and frameworks can help determine the perceived regional and global development. global framework activitie...

This paper uses theories of policy learning and of policy-making to examine how global institutions such as the WTO can influence policy choices. In pure learning by doing, policy choices are based on information relating to the history of an active policy; there is no information on alternative policies. New information on priors provides an incentive to choose a different policy. In the case ...

It currently requires years of education and practice before a skilled user can successfully program a sophisticated robot platform to perform a given task. We are exploring ways in which statistical machine learning techniques can enable Learning from Demonstration, an approach where users ‘reprogram’ a robot without writing code. In this scenario, a user demonstrates the desired task and the ...

abstractabstract in this paper, the role and impact of the interest groups particularly protective internal one upon public policy making for business environment is studied through analytical comparative method. firstly, definition and different types of the interest groups are introduced in brief. interest groups in this articles refer to those kinds of groups which try to influence upon publ...

in this paper, tender problems in an automobile company for procuring needed items from potential suppliers have been resolved by the learning algorithm q. in this case the purchaser with respect to proposals received from potential providers, including price and delivery time is proposed; order the needed parts to suppliers assigns. the buyer’s objective is minimizing the procurement costs thr...

We already proposed a decision making system for autonomous robots, which is based on a Markovian emotional model proposed by Banik. In our proposed system, decision making of the robot is designed automatically by two processes that are the construction of emotions and optimization of behavior selection policy for emotions. In this study, we introduce an experiences-based reconstruction of emo...

We consider the learning problem under an online Markov decision process (MDP) aimed at learning the time-dependent decision-making policy of an agent that minimizes the regret-the difference from the best fixed policy. The difficulty of online MDP learning is that the reward function changes over time. In this letter, we show that a simple online policy gradient algorithm achieves regret O(√T)...