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The Reinforcement Learning Call-for-Papers List

Start Date End Date Papers Due Notification Date
30th International Conference on Machine Learning (ICML 2013) 2013-06-26 2013-07-01 2012-10-01 2012-11-30
Atlanta, USA

The 30th International Conference on Machine Learning (ICML 2013) will be held at the Atlanta Marriott Marquis, in Atlanta Georgia, from June 16 to 21, 2013. The conference will consist of one day of tutorials, followed by three days of main conference sessions, followed by two days of workshops. All topics related to machine learning are eligible for papers, tutorials or workshops.
ICICIP 2013 2013-06-09 2013-06-11 2013-02-01 2013-03-05
Beijing, China

4th International Conference on Intelligent Control and Information Processing (ICICIP 2013), organized by Institute of Automation, Chinese Academy of Sciences, will be held in Beijing, China, as a sequel of ICICIP 2010 in Dalian, ICICIP 2011 in Harbin, and ICICIP 2012 in Dalian. Beijing, as the capital of the People's Republic of China, is the nation's political, economic, and cultural center as well as China's most important center for international trade and communications. ICICIP 2013 aims to provide a high-level international forum for scientists, engineers, and educators working in the areas of information and control to present state-of-the-art sciences and technologies, and their applications in diverse fields. The conference will feature plenary speeches given by worldwide renowned scholars, regular sessions with broad coverage, and special sessions focusing on some popular topics.
ICIC 2013 2013-07-28 2013-07-31 2013-02-15 2013-04-25
Nanning, China

The intelligent computing annual conference primarily aims to promote the research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them. The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc. ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference is Advanced Intelligent Computing Methodologies and Applications. Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology.
IJCNN 2013 2013-08-04 2013-08-09 2013-02-22 2013-05-01
Dallas, USA

IJCNN is the premier international conference in the area of neural network theory, analysis, and applications. IJCNN is co-sponsored by the International Neural Network Society (INNS) and the IEEE Computational Intelligence Society (IEE-CIS), with support from : Missouri University of Science and Technology; University of Texas at Arlington; National Science Foundation (NSF, USA); Cognimem; and Toyota.
ACM Tiis (special issue) 2014-01-01 2014-01-01 2013-02-28 2013-06-13
,

TiiS, launched in 2010, is an ACM journal for research about intelligent systems that people interact with. The journal publishes articles on research concerning the design, realization, or evaluation of interactive systems that incorporate some form of machine intelligence. As a supplement to its main stream of regular articles, TiiS publishes special issues on selected topics for which it can be expected that several articles can be accepted that meet the traditional high standards of ACM journals. A special issue has the benefit of offering readers a concentration of related articles on an important or emerging topic. Since a journal issue that includes a special issue will typically include one or more regular articles as well, the publication of regular articles is not delayed by special issues.
Start Date End Date Papers Due Notification Date
Machine Learning for Interactive Systems (MLIS-2013) 2013-09-03 2013-08-04 2013-04-20 2013-05-20
Beijing, China

Intelligent systems or robots that interact with their environment by perceiving, acting or communicating often face a challenge in how to bring these different concepts together. One of the main reasons for this challenge is the fact that the core concepts in perception, action and communication are typically studied by different communities: the computer vision, robotics and natural language processing communities, among others, without much interchange between them. Learning systems that encompass perception, action and communication in a unified and principled way are still rare. As machine learning lies at the core of these communities, it can act as a unifying factor in bringing the communities closer together. Unifying these communities is highly important for understanding how state-of-the-art approaches from different disciplines can be combined (and applied) to form generally interactive intelligent systems. This is important for many applications in robotics, human-robot interaction and intelligent interfaces. This workshop aims to bring researchers from multiple disciplines together that are in some way or another affected by the gap between perception, action and communication. We hope to provide a forum for interdisciplinary discussion that allows researchers to look at their work from new perspectives that go beyond their core community and potentially develop new interdisciplinary collaborations.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013) 2013-09-23 2013-09-27 2013-04-22 2013-06-14
Prague, Czech Republic

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) will take place in Bristol, UK from September 24th to 28th, 2012. ECML-PKDD is the prime European scientific event in machine learning and data mining. It will feature presentations of contributed papers and invited speakers, a wide program of workshops and tutorials on the first and last days, a discovery challenge, and a DINe track with demo, industry, and 'nectar' talks.
ECML PKDD (Reinforcement Learning with Generalized Feedback: Beyond Numeric Rewards) 2013-09-23 2013-09-23 2013-06-28 2013-07-19
Prague, Czech Republic

The most important goal of this workshop is to help in unifying and streamlining research on generalizations of standard reinforcement learning, which, for the time being, seem to be pursued in a rather uncoordinated manner. Indeed, many of the extensions and generalizations discussed above are still lacking a sound theoretical foundation, let alone a generally accepted underlying framework comparable to Markov Decision Processes for conventional reinforcement learning. Besides, many of the commonalities shared by these generalizations have apparently not been recognized or explored so far. A formalization in terms of preferences may provide such a theoretical underpinning. Ideally, the workshop will help the participants to identify some common ground of their work, thereby helping the field move toward a theoretical foundation of reinforcement learning with generalized feedback. Apart from fostering theoretical developments of that kind, we are also interested in identifying and exchanging interesting applications and problems that may serve as benchmarks for qualitative or preference-based reinforcement learning (such as cart-pole balancing or the mountain car for classical reinforcement learning). Topics of interest include but are not limited to novel frameworks for reinforcement learning beyond MDPs algorithms for learning from preferences and non-numeric, qualitative, or structured feedback theoretical results on the learnability of optimal policies, convergence of algorithms in qualitative settings, etc. applications and benchmark problems for reinforcement learning in non-standard settings.
Reinforcement Learning and Decision Making (RLDM 2013) 2013-10-25 2013-10-27 2013-12-18 2013-12-18
Princeton, USA

Over the last few decades, reinforcement learning and decision making have been the focus of an incredible wealth of research spanning a wide variety of fields including psychology, artificial intelligence, machine learning, operations research, control theory, animal and human neuroscience, economics and ethology. Key to many developments in the field has been interdisciplinary sharing of ideas and findings, yet there is no single conference that brings all these communities together. The focus of this meeting can be broadly construed as "decision making over time to achieve a goal". Our aim is to inaugurate a recurring meeting characterized by the multidisciplinarity of the presenters and attendees, with cross-disciplinary conversations and teaching and learning being central objectives along with the dissemination of novel theoretical and experimental results. The first meeting will be single-track, with 8 talk sessions and 2 poster sessions over the course of 2.5 days. This meeting will consist mostly of invited talks and contributed posters (future meetings will concentrate on contributed talks and posters, tutorial sessions and workshops). Please mark your calendars -- Oct 25-27, Princeton -- more information, including a "Call for Contributions", will follow (note that we will not publish proceedings; papers submitted to RLDM can be freely submitted elsewhere for publication).
Last updated on May 12, 2013

Know of a conference with a focus on reinforcement learning not listed here?
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