MIL - The University of Tennessee
the university of tennessee machine intelligence lab

The Reinforcement Learning Call-for-Papers List

Start Date End Date Papers Due Notification Date
IEEE ADPRL 2014 2014-12-09 2014-12-12 2014-06-15 2014-09-05
Orlando, USA

The goal of the IEEE Symposium on ADPRL is to provide an outlet and a forum for interaction between researchers and practitioners in ADP and RL, in which the clear parallels between the two fields are brought together and exploited. We equally welcome contributions from control theory, computer science, operations research, computational intelligence, neuroscience, as well as other novel perspectives on ADPRL. Original papers are sought on methods, analysis, applications, and overviews of ADPRL. We are interested in applications from engineering, artificial intelligence, economics, medicine, and other relevant fields.
AAAI 2015 2015-01-25 2015-01-29 2014-09-15 2014-11-07
Austin, USA

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, students and engineers in AI and all affiliated disciplines. AAAI-15 is the Twenty-Ninth AAAI Conference on Artificial Intelligence. It will continue the traditions of previous AAAI conferences with multiple technical tracks, invited speakers, workshops, tutorials, student abstracts, senior member papers, poster sessions, a video competition, and exhibit programs, all selected according to the highest standards. AAAI-15, as the inaugural Winter AAAI conference, will also include special programs that celebrate the past and look into the future. A number of exciting innovations are planned, including additional programs for students and young researchers.
RLDM 2015 2015-06-07 2015-06-10 2015-02-07 2014-03-21
Edmonton, Canada

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. The goal of RLDM is to provide a platform for communication among all researchers interested in "learning and decision making over time to achieve a goal". The meeting is 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, RLDM2013, was a huge success, with over 300 attendees.
Last updated on November 10, 2014

Know of a conference with a focus on reinforcement learning not listed here?
Please let us know at rlcfps@gmail.com!