posted by user: walp || 9215 views || tracked by 12 users: [display]

AWRL 2016 : First Asian Workshop on Reinforcement Learning

FacebookTwitterLinkedInGoogle

Link: http://www.contrib.andrew.cmu.edu/~paweng/AWRL2016/
 
When Nov 16, 2016 - Nov 16, 2016
Where Hamilton, New Zealand
Submission Deadline Sep 15, 2016
Notification Due Oct 10, 2016
Final Version Due Oct 24, 2016
Categories    reinforcement learning   machine learning   artificial intelligence
 

Call For Papers

*** Update ***

The deadline for submission has been extended to **Sep.15, 2016**!

Besides, the list of invited speakers has been finalized:

- Lihong Li from Microsoft Research will give an invited talk at AWRL 2016!

- Olivier Pietquin from Deepmind and University Lille 1 (France) will give an invited talk at AWRL 2016!

******************************

The First Asian Workshop on Reinforcement Learning (AWRL 2016)
The University of Waikato, Hamilton - November 16, 2016
In conjunction with the 8th Asian Conference on Machine Learning (ACML 2016)

** Motivation

The first Asian Workshop on Reinforcement Learning (AWRL 2016) focuses on both theoretical models and algorithms of reinforcement learning (RL) and its practical applications. In the last few years, we have seen the growing interest in RL of researchers from different research areas and industries. We invite reinforcement learning researchers and practitioners to participate in this world-class gathering. We intend to make this an exciting event for researchers and practitioners in RL worldwide, not only for the presentation of top quality papers, but also as a forum for the discussion of open problems, future research directions and application domains of RL. AWRL 2016 will consist of keynote talks (TBA), contributed paper presentations, discussion sessions spread over a one-day period.

Reinforcement learning (RL) is an active field of research that deals with the problem of (single or multiple agents') sequential decision-making in unknown possibly partially observable domains, whose (potentially non-stationary) dynamics may be deterministic, stochastic or adversarial. RL's objective is to develop agents' capability of learning optimal policies in unknown environments (possibly in face of other coexisting agents) by trial-and-error and with limited supervision. Recent developments in exploration-exploitation, online learning, planning, and representation learning are making RL more and more appealing to real-world applications, with promising results in challenging domains such as recommendation systems, computer games, or robotics systems. We would like to create a forum to discuss interesting results both theoretically and empirically related with RL. The ultimate goal of this workshop is to bring together diverse viewpoints in the RL area in an attempt to consolidate the common ground, identify new research directions, and promote the rapid advance of RL research community.


**Topics

The workshop will cover a range of sub-topics in RL, from theoretical aspects to empirical evaluations, including but not limited to:
- Exploration/Exploitation
- Function approximation in RL
- Deep RL
- Policy search methods
- Batch RL
- Kernel methods for RL
- Evolutionary RL
- Partially observable RL
- Bayesian RL
- Multi-agent RL
- RL in non-stationary domains
- Life-long RL
- Non-standard Criteria in RL, e.g.: Risk-sensitive RL, Multi-objective RL, Preference-based RL...
- Transfer Learning in RL
- Knowledge Representation in RL
- Hierarchical RL
- Interactive RL
- RL in psychology and neuroscience
- Applications of RL, e.g.: Recommender systems, Robotics, Video games, Finance...


**Paper Submission

Workshop submissions and camera ready versions will be handled by EasyChair. Click here for submission.

Papers should be formatted according to the ACML formatting instructions for the Conference Track. Submissions need not be anonymous.

AWRL is a non-archival venue and there will be no published proceedings. However, the papers will be posted on this website. Therefore it will be possible to submit to other conferences and journals both in parallel to and after AWRL 2016. Besides, we also welcome submissions to AWRL that are under review at other conferences and workshops. For this reason, please feel free to submit either anonymized or non-anonymized versions of your work. We have enabled anonymous reviewing so EasyChair will not reveal the authors unless you chose to do so in your PDF.

At least one author from each accepted paper must register for the workshop. Please see the ACML 2016 Website for information about accommodation and registration.


** Important Dates

Submission deadline: Aug. 31, 2016 (extended to Sep. 15, 2016)
Notification of acceptance: Oct. 10, 2016
Camera ready deadline: Oct. 24, 2016
Workshop date: Nov. 16, 2016
ACML dates: Nov. 16-18, 2016


** Organizing Committee

Jianye Hao, Tianjin University, China
Paul Weng, SYSU-CMU Joint Institute of Engineering, China
Yang Yu, Nanjing University, China
Zongzhang Zhang, Soochow University, China

Related Resources

ACE 2024   The 16th Asian Conference on Education (ACE2024)
IEEE COINS 2024   IEEE COINS 2024 - London, UK - July 29-31 - Hybrid (In-Person & Virtual)
ICMLA 2024   23rd International Conference on Machine Learning and Applications
ECAI 2024   27th European Conference on Artificial Intelligence
ICDM 2024   IEEE International Conference on Data Mining
JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
CCBDIOT 2024   2024 3rd International Conference on Computing, Big Data and Internet of Things (CCBDIOT 2024)
CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex