“Seminar”的版本间的差异
来自南京大学IIP
（更改可见性） |
（更改可见性） |
||
| （未显示同一用户的11个中间版本） | |||
| 第1行： | 第1行： | ||
| − | + | 为了加强IIP组的学术交流与科研需要，举办2018学术讨论班，每周五下午2点，报告内容见下表，欢迎参加交流。 | |
| + | |||
| + | <span style="font-size:small;">指导老师：[http://cs.nju.edu.cn/zhangl/ 张雷]</span> | ||
| + | |||
| + | <span style="font-size:small;">组内成员：程浩，张怡，朱恺，冯伟赞</span> | ||
| − | |||
| − | |||
| | ||
| − | {| align=" | + | {| align="left" border="1" cellpadding="1" cellspacing="1" style="width: 812px;" |
|- | |- | ||
| − | ! colspan="1" scope="col" style="width: 95px | + | ! colspan="1" scope="col" style="width: 95px;" | 时间地点 |
| − | ! scope="col" style="width: 144px | + | ! scope="col" style="width: 144px;" | 报告人 |
| − | ! scope="col" style="width: 370px | + | ! scope="col" style="width: 370px;" | 报告题目 |
| − | ! scope="col" style="width: | + | ! scope="col" style="width: 182px;" | 资料链接 |
|- | |- | ||
| colspan="1" rowspan="2" style="width: 95px; text-align: center;" | | | colspan="1" rowspan="2" style="width: 95px; text-align: center;" | | ||
| − | 3. | + | 3.23下午3点 |
224教室 | 224教室 | ||
| style="width: 144px; border-color: rgb(0, 0, 0);" | <p style="text-align: center;">张怡</p> | | style="width: 144px; border-color: rgb(0, 0, 0);" | <p style="text-align: center;">张怡</p> | ||
| − | | style="width: 370px | + | | style="width: 370px; border-color: rgb(0, 0, 0); text-align: center;" | Instance Specific Discriminative Modal Pursuit：<br/> A Serialized Approach* |
| − | | style="width: | + | | style="width: 182px; text-align: center;" | [http://proceedings.mlr.press/v77/yang17a.html 文献] |
|- | |- | ||
| style="width: 144px;" | <p style="text-align: center;">冯伟赞</p> | | style="width: 144px;" | <p style="text-align: center;">冯伟赞</p> | ||
| style="width: 370px; text-align: center;" | Text Matching as Image Recognition | | style="width: 370px; text-align: center;" | Text Matching as Image Recognition | ||
| − | | style="width: | + | | style="width: 182px; text-align: center;" | [https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11895 文献] |
|- | |- | ||
| colspan="1" rowspan="2" style="width: 95px; text-align: center;" | | | colspan="1" rowspan="2" style="width: 95px; text-align: center;" | | ||
| − | 4. | + | 4.8下午2点 |
| − | + | 223教室 | |
| style="width: 144px; text-align: center;" | 程浩 | | style="width: 144px; text-align: center;" | 程浩 | ||
| − | | style="width: 370px; text-align: center;" | | + | | style="width: 370px; text-align: center;" | Probably Approximately Efficient<br/> Combinatorial Auctions via Machine Learning |
| − | | style="width: | + | | style="width: 182px; text-align: center;" | [https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/15040 文献] |
| + | |- | ||
| + | | style="width: 144px; text-align: center;" | 朱恺 | ||
| + | | style="width: 370px; text-align: center;" | Deterministic Policy Gradient Algorithms | ||
| + | | style="width: 182px; text-align: center;" | [http://proceedings.mlr.press/v32/silver14.html 文献] | ||
| + | |- | ||
| + | | colspan="1" style="width: 95px; text-align: center;" | | ||
| + | 4.13号下午2点 | ||
| + | |||
| + | 223教室 | ||
| + | |||
| + | | style="width: 144px; text-align: center;" | 张雷 | ||
| + | | style="width: 370px; text-align: center;" | Optimal auctions through deep learning. | ||
| + | | style="width: 182px; text-align: center;" | [https://arxiv.org/abs/1706.03459 文献] | ||
| + | |- | ||
| + | | colspan="1" rowspan="2" style="width: 95px; text-align: center;" | | ||
| + | 4.20下午2点 | ||
| + | |||
| + | 319教室 | ||
| + | |||
| + | | style="width: 144px; text-align: center;" | 张怡 | ||
| + | | style="width: 370px; text-align: center;" | Instance Specific Discriminative Modal Pursuit：<br/> A Serialized Approach*代码分析 | ||
| + | | style="width: 182px; text-align: center;" | [http://proceedings.mlr.press/v77/yang17a.html 文献] | ||
| + | |- | ||
| + | | style="width: 144px; text-align: center;" | 程浩 | ||
| + | | style="width: 370px; text-align: center;" | Safe and Nested Subgame Solving for<br/> Imperfect-Information Games | ||
| + | | style="width: 182px; text-align: center;" | [http://papers.nips.cc/paper/6671-safe-and-nested-subgame-solving-for-imperfect-information-games 文献] | ||
| + | |- | ||
| + | | colspan="1" rowspan="2" style="width: 95px; text-align: center;" | | ||
| + | 4.27下午2点 | ||
| + | |||
| + | 224教室 | ||
| + | |||
| + | | style="width: 144px; text-align: center;" | 张雷 | ||
| + | | style="width: 370px; text-align: center;" | Mechanism Design in Social Networks | ||
| + | | style="width: 182px; text-align: center;" | [http://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/download/14879/13816 文献] | ||
|- | |- | ||
| style="width: 144px; text-align: center;" | 朱恺 | | style="width: 144px; text-align: center;" | 朱恺 | ||
| − | | style="width: 370px; text-align: center;" | | + | | style="width: 370px; text-align: center;" | |
| − | | style="width: | + | = <span style="font-size:small;"><span style="line-height:1.3"><span style="background-color:#ffffff"><span style="outline:0px !important"><font color="#333333"><font face="sans-serif">A new approach on multi-agent Multi-Objective Reinforcement Learning based on agents' preferences</font></font></span></span></span></span> = |
| + | |||
| + | | style="width: 182px; text-align: center;" | [https://ieeexplore.ieee.org/abstract/document/8324111/ <font size="2">文献</font>] | ||
|} | |} | ||
| | ||
2018年4月26日 (四) 22:41的最新版本
为了加强IIP组的学术交流与科研需要，举办2018学术讨论班，每周五下午2点，报告内容见下表，欢迎参加交流。
指导老师：张雷
组内成员：程浩，张怡，朱恺，冯伟赞
| 时间地点 | 报告人 | 报告题目 | 资料链接 |
|---|---|---|---|
|
3.23下午3点 224教室 |
张怡 |
Instance Specific Discriminative Modal Pursuit： A Serialized Approach* |
文献 |
| 冯伟赞 |
Text Matching as Image Recognition | 文献 | |
|
4.8下午2点 223教室 |
程浩 | Probably Approximately Efficient Combinatorial Auctions via Machine Learning |
文献 |
| 朱恺 | Deterministic Policy Gradient Algorithms | 文献 | |
|
4.13号下午2点 223教室 |
张雷 | Optimal auctions through deep learning. | 文献 |
|
4.20下午2点 319教室 |
张怡 | Instance Specific Discriminative Modal Pursuit： A Serialized Approach*代码分析 |
文献 |
| 程浩 | Safe and Nested Subgame Solving for Imperfect-Information Games |
文献 | |
|
4.27下午2点 224教室 |
张雷 | Mechanism Design in Social Networks | 文献 |
| 朱恺 |
A new approach on multi-agent Multi-Objective Reinforcement Learning based on agents' preferences |
文献 |
