(apologies for cross posting) Dear colleagues and students,
I am pleased to announce that, Prof. Von-Wun Soo and myself can offer a PhD position in the context of the 4-year dual PhD programme at National Tsing Hua University (NTHU) and the University of Liverpool. Topic: Improvements of Monte Carlo Tree Search for Real Applications Deadline: 31st of May 2017 URL: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=84967&LID=2184 Description: In recent years techniques of sequential decision making have taken a flight. Many of the recent advances are based on simulation-based planning and, in particular, so-called Monte Carlo Tree Search (MCTS) methods [2,3]. These methods are very flexible and in the limit they will converge to the optimal policy that takes into account execution uncertainty (e.g., stochastic outcome of actions) in a principled fashion. However, despite these attractive features, there are some domain properties that are challenging for MCTS. The goal of this project is to explore advances in MCTS that address these difficulties in the context of applications such as nano-grids and multi-robot teams. This project is a part of a 4-year dual PhD programme between National Tsing Hua University (NTHU) in Taiwan and the University of Liverpool in UK. It is planned that students will spend time studying in each institution. Both the University of Liverpool and NTHU have agreed to waive the tuition fees for the duration of the project. Moreover, a stipend of TWD 10,000/month will be provided to cover part of the living costs. I would be grateful if you could forward this message to suitable candidates. Best regards, -Frans Oliehoek p.s.: As a reminder, I am also recruiting for a different position: Topic: Deep learning for Multi-agent Reinforcement Learning and Decision Making Deadline: Monday, April 3 2017 https://www.findaphd.com/search/ProjectDetails.aspx?PJID=83836&LID=2184%29 _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
