Reinforcement learning (RL) makes it possible to train agents capable of achieving sophisticated goals in complex and uncertain environments. A key difficulty in reinforcement learning is specifying a reward function for the agent to optimize. Traditionally, imitation learning in RL has been used to overcome this problem. Unfortunately, hitherto imitation learning methods tend to require that d...

Abstract Taking its cue from the critical treatment given to unreliable narration by Wayne C. Booth and his early followers, in contrast claims often made field of authentication theory, this paper seeks join debate on “third-person” narrative unreliability outlining an inclusive approach phenomenon which “person” parameter need not be a determining factor. To theorize illustrate approach, meth...

This study addresses the impact of 2 types of written corrective feedback (WCF) on the acquisition of the third person singular -s in English. The study followed a quasi-experimental design: 2 experimental groups and 1 control group that included 57 preservice teachers from a Chilean university. The experimental groups underwent a treatment based on the provision of direct metalinguistic feedba...

A survey of adolescents (N = 1,488) documented third-person perception (TPP) regarding Facebook use and cyber bullying. As Facebook establishes itself as the dominant social network, users expose themselves to a level of bullying not possible in the analog world. The study found that 84% of adolescents (middle school through college undergraduates) use Facebook, and that most users log on daily...