關於 java addition ，我們在網路上蒐集到這些相關的討論、資訊與評價

印尼的火車本來已經很舒適了，現在又新增似飛機商務艙等級的座位，能不來印尼走跳玩耍嗎！？
#組一團出發印尼吧

《The Hidden Beauties in Indonesia 顛覆印象的印尼》

「印尼豪華臥鋪列車，你心動了嗎?」
雅加達，CNN印度尼西亞 - PT Kereta Api（Persero）或KAI明年將有臥舖級列車（臥舖級）開闢一條新路線。

Raden旅遊營銷副總裁KAI Dwinanto Budiadji表示，將要實施是雅加達南部線- 日惹/梭羅 - 瑪瑯和雅加達 - 萬隆。

該公司繼Raden，已於9月至10月底對雅加達 - 日惹/梭羅 - 瑪瑯的關係進行了許多的試驗。在這個試用期內，臥舖列車僅在周末運行。

“於雅加達 - 瑪瑯試驗中，入住率非常好，超過100％，”拉登週二（10月30日）在雅加達鐵路中心的媒體工作人員說。

小編偷看豪華臥舖級列車設施，都心動想揪團出發了~

拉登透露，通過發放臥舖列車服務，該公司希望吸引那些傾向於不喜歡航空旅行的中上游族群。

雅加達 - 瑪瑯的票價格為Rp1.45百萬，約為普通門票價格的三倍，每人僅約Rp.50萬。同時，雅加達 - Jogja，票價格為每人125萬印尼盾。

雅加達 - 日惹 - 瑪瑯臥鋪火車路線
計劃將從2019年1月起正式售票啟用，估計臥舖位有26個座位。

另外也提供列車睡眠等級經濟價格的座位，初步計畫是從雅加達發車到萬隆，票價約Rp.250千

目前，這部火車就跟飛機設置的概念一樣，在商務艙中配備齊全，只服務於爪哇島北部爪哇線（雅加達） - 井裡汶 - 三寶壟達旺站 - 帕薩圖里站（泗水）。

自從今年年中推出以來，Raden表示入住率約為60％ 僅18個座位。

(English)
Jakarta, CNN Indonesia - PT Kereta Api (Persero) or KAI will open a new route for sleeper-level trains (sleeper level) next year.

KAI Dwinanto Budiadji, vice president of tourism marketing at Raden, said that the implementation will be the southern line of Jakarta - Yogyakarta / Solo - Malang and Jakarta - Bandung.

Following Raden, the company has conducted a number of experiments on the relationship between Jakarta-Yogya/Solo-Malay from September to the end of October. During this trial period, the sleeper train runs only on weekends.

“In the Jakarta-Malay trial, the occupancy rate was very good, over 100%,” said Laden’s media staff at the Jakarta Railway Center on Tuesday (October 30).

See also: Photo: Peeking at luxury sleeper-class train facilities

Bin Laden revealed that by issuing sleeper train services, the company hopes to attract middle- and high-end groups that prefer not to enjoy air travel.

The ticket price for Jakarta - Malang is Rp1.45 million, which is about three times the price of ordinary tickets, and only about Rp.500,000 per person. At the same time, Jakarta - Jogja, the ticket price is 1.25 million Indonesian rupiah per person.

Jakarta - Yogyakarta - Malang sleeper train route
It is planned to officially open the ticket from January 2019, and it is estimated that there will be 26 seats in the sleeper.

In addition, the seat of the train sleep grade economic price is also provided. The preliminary plan is to depart from Jakarta to Bandung, and the fare is about Rp.250 thousand.

At present, this train is just like the concept of aircraft set up. It is fully equipped in the business class and only serves the Javanese line in the north of Java (Jakarta) - Cirebon - Semarang Tawang Station - Passaturi Station (Sui Shui) .

Since its launch in mid-year, Raden said the occupancy rate is about 60% and is limited to 18 seats.
https://www.cnnindonesia.com/…/kai-tawarkan-kereta-sleeper-…

Fully funded PhD position at the University of Amsterdam in reinforcement learning for telepresence robotics:

The Informatics Institute at the University of Amsterdam invites applications for a fully funded position for a PhD student in the area of reinforcement learning for telepresence robotics The position is within the Intelligent Systems Lab Amsterdam and will be supervised by dr. Shimon Whiteson and. dr. Maarten van Someren.

Application closing date: 6 September 2013
Starting date: 1 December 2013 (later starting date is possible).
Duration: 4 years.

The research will focus on the development of new algorithms for discovering socially appropriate behavior for a semi-autonomous telepresence robot by integrating multiple sources of implicit feedback from the robot's environment. Doing so will require new reinforcement learning techniques, as well as other types of machine learning. The research will be conducted as part of a European project called "Telepresence Reinforcement Learning Social Robot (TERESA)", which the University of Amsterdam coordinates and collaborates on with several other European universities and companies. The project aims to develop a socially intelligent semi-autonomous telepresence robot and successfully demonstrate its application in an elderly day center.

Applicants must have a master's degree in computer science or a closely related area.

In addition, a successful candidate should have:

* strong math skills.

* good knowledge of modern machine learning methods (specific knowledge of reinforcement learning and/or decision-theoretic planning is a plus).

* good knowledge of robotics.

* experience programming in at least one of the following languages: C, C++, Java, Python, or Perl.

* excellent oral and written communication skills.

The successful candidate will be based in the Intelligent Systems Lab Amsterdam (ISLA) within the Informatics Institute at the University of Amsterdam. The institute was recently ranked among the top 50 computer science departments in the world by the QS World University IT Rankings. ISLA consists of 20 members of faculty, 20 post-doctoral researchers, and more than 50 PhD students. Members of the lab are actively pursuing a variety of research initiatives, including machine learning, decision-theoretic planning and learning, multiagent systems, human-computer-interaction, natural language processing, information retrieval, and computer vision.

Some of the things we have to offer:

* competitive pay and excellent benefits
* extremely friendly working environment
* high-level of interaction
* location near the city center (10 minutes by bicycle) of one Europe's most beautiful and lively cities
* international environment (10+ nationalities in the group)
* access to high-end computing facilities (cluster with 4,000+ cores)
* brand-new building

Since Amsterdam is a very international city where almost everybody speaks and understands English, candidates need not be afraid of the language barrier.

For further information, including instructions on submitting an application, see the official job ad at:

http://www.uva.nl/en/about-the-uva/working-at-the-uva/phd-positions/item/13-245.html

Informal inquiries can be made by email to Shimon Whiteson (s.a.whiteson@uva.nl).
PhD Candidate in the area of reinforcement learning for telepresence robotics - University of...
www.uva.nl
PhD Candidate in the area of reinforcement learning for telepresence roboticsFaculty of Science – Informatics InstitutePublication date6 August