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
2014 Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2014) 2014-11-07 2014-11-09 2014-05-09 2014-06-07
Cambridge, USA

Biologically Inspired Cognitive Architectures (BICA) are computational frameworks for building intelligent agents that are inspired from biological intelligence. Biological intelligent systems, notably animals such as humans, have many qualities that are often lacking in artificially designed systems including robustness, flexibility and adaptability to environments. At a point in time where visibility into naturally intelligent systems is exploding, thanks to modern brain imaging and recording techniques allowing us to map brain structures and functions, our ability to learn lessons from nature and to build biologically inspired intelligent systems has never been greater. At the same time, the growth in computer science and technology has unleashed enough computational power at sufficiently low prices, that an explosion of intelligent applications from driverless vehicles, to augmented reality, to ubiquitous robots, is now almost certain. The growth in these fields challenges the computational replication of all essential aspects of the human mind (the BICA Challenge), an endeavor which is interdisciplinary in nature and promises to yield bi-directional flow of understanding between all involved disciplines. With the scope of BICA 2014 covering all areas of BICA-related research listed below, the major thrusts will be Perception, Attention, and Language.
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.
Last updated on February 25, 2014

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