[robotics-worldwide] [meetings] CFP (invited speakers and deadline extension): Asian Workshop on Reinforcement Learning

Paul Weng paweng at cmu.edu
Mon Aug 29 23:49:06 PDT 2016


*** 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!


****************************************************************************************************
Call for Paper for Asian Workshop on Reinforcement Learning (AWRL 2016)
The University of Waikato, Hamilton, New Zealand - November 16, 2016
In conjunction with the 8th Asian Conference on Machine Learning (ACML 2016)
****************************************************************************************************

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. 

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: 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


Best,
Paul Weng
Assistant Professor
SYSU-CMU Joint Institute of Engineering
SYSU-CMU Shunde International Joint Research Institute
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