This study aims to solve the problem of sparse reward and local convergence when using a reinforcement learning algorithm as controller an AUV. Based on generative adversarial imitation (GAIL) combined with multi-agent, multi-agent GAIL (MAG) is proposed. The enables AUV directly learn from expert demonstrations, overcoming difficulty slow initial training network. Parallel multi-agents reduces...

The access and integration of the massive amount of information, that can be provided by the web, can be of great help in a number of fields, including tourism and advertising of artistic sites. A “virtual visit” of a place can be a valuable experience before, during and after the experience on-site. For this reason, the contribution from the public could be merged to provide a realistic and im...

Deep generative models have recently shown great promise in imitation learning for motor control. Given enough data, even supervised approaches can do one-shot imitation learning; however, they are vulnerable to cascading failures when the agent trajectory diverges from the demonstrations. Compared to purely supervised methods, Generative Adversarial Imitation Learning (GAIL) can learn more rob...

This paper discusses ongoing work to build an argumentation inquiry learning system, GAIL. The purpose of GAIL is to support students in constructing scientific arguments in an undergraduate genetics course in order to facilitate deeper learning and improve argumentation skill. Students can construct argument diagrams using a dragand-drop graphical user interface. The system constructs argument...

The Gail Risk model was developed based on data from Caucasian women. Little information is available regarding breast cancer risk assessment in women of other ethnicities. Our study invited asymptomatic women of color presenting for screening mammography, to be interviewed with a risk questionnaire and to undergo aspiration of nipple fluid (NAF) for cytology. The HALOR system was used to aspir...

Leslie Gail Ungerleider, a distinguished experimental psychologist and neuroscientist, previously Chief of the Laboratory Brain Cognition at National Institute Mental Health, died suddenly on 11 December 2020. Friends, family, colleagues, trainees all world over mourn her passing, but also celebrate life extraordinary achievements.

where a = [OK OK-. Thus the most recent infection rates are estimated by extrapolating a linear function. The piecewise constant step function model for I(s) that was used in the early work on backcalculation assumes that infection rates are constant over intervals. Simulation studies of Rosenberg, Gail and Pee (1991) suggest choosing a last step of 4 to 4.5 years in length. Recent infection ra...