trading. We propose a new method for simultaneous execution and learning – the confidence-triggered regularized adaptive … equivalent policy and a recently proposed reinforcement learning algorithm that is designed to explore efficiently in linear …

Challenges continue for higher education to improve learning outcomes and better prepare graduates for successful … careers. Service-learning, an instructional method that integrates theoretical learning with real life experimentation and … community service, offers the positive impacts of its pedagogy in enhancing students' learning and personal growth. This study …

- response agents, learning through naive reinforcement, and then grant them some introspective capabilities, we get outcomes … their learning process …

(MMOGs) within the context of social learning theory, social networks, self-organisation, online communities and emergence …-method approach, the project examines spontaneously-emerging communities of learning in and around massively multiplayer online games …

's exploratory learning environment. Building on Burt's (1992) structural holes hypothesis that a large, sparse task advice network … enhances an actor's exploratory learning environment, I propose that such effects hold only when the direct and indirect …

hedging or speculation purposes, and we adopt an original pricing approach based on Supervised Learning (SL) algorithms. In …

production cycle: they learn about total demand from a limited sample of target consumers pre-ordering a new product. Learning … preferences, such as developers of innovative consumer products. Learning also enables firms to overcome moral hazard. The higher …