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
The First International Workshop on Applications of Machine Learning Techniques in Medicine and Biology 2010-02-10 2010-02-15 2009-09-10 2009-10-12
St. Maarten, Netherlands Antilles

 Machine learning (ML) is an inherently interdisciplinary field, built on concepts from artificial intelligence, cognitive science, probability and statistics, information theory, philosophy, control theory, psychology, neurobiology and other fields. ML techniques have found widespread applications in biology and medicine. Medicine is largely an evidence-driven discipline where large quantities of relatively high-quality data are collected and stored in databases. The medical data are highly heterogeneous and are stored in numerical, text, image, sound and video formats. They include clinical data (symptoms, demographics, biochemical tests, diagnoses and various imaging, video, vital signals, etc), logistics data (charges and costs, policies, guidelines, clinical trials, etc), bibliographical data, and molecular data. Bioinformatics, which concerns the latter type of data, conceptualizes biology in terms of molecules and applies "informatics" techniques, derived from disciplines such as applied mathematics, computer science and statistics to understand and organize the information associated with these molecules on a large scale. In other words, bioinformatics encompasses analysis of molecular data expressed in the form of nucleotides, amino acids, DNA, RNA, pedtides and proteins. The sheer amount and breadth of data requires development of efficient methods for knowledge/information extraction that can cope with the size and complexity of the accumulated data. There are numerous examples of successful applications of machine learning in areas of diagnosis and prevention, prognosis and therapeutic decision making.
Thirteenth International Conference on Artificial Intelligence and Statistics 2010-05-13 2010-05-15 2009-11-06 2010-02-13
Sardinia, Italy

 This is the thirteenth conference on Artificial Intelligence and Statistics (AISTATS*2010), an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, statistics, and related areas. Since its inception the AISTATS conference has been held every two years in North America. At the 2009 conference, with the support of the EU funded PASCAL II Network of Excellence (www.pascal-network.org), the decision was made to bring the conference to Europe for the first time. Starting in 2010 AISTATS will be held every year, alternating the venue between Europe and North America. The Conference Programme will include invited talks, contributed talks, and posters. Contributed talks and posters are selected via a rigorous peer-review process based on 8 page papers. Accepted papers will be published as a special issue in the Journal of Machine Learning Research (JMLR) Workshop and Conference Proceedings Series.
13th Conference on Artificial Intelligence and Statistics (AISTATS*2010) 2010-05-13 2010-05-15 2009-11-06 2010-02-13
Chia Laguna, Italy

 This is the thirteenth conference on Artificial Intelligence and Statistics (AISTATS*2010), an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, statistics, and related areas. Since its inception the AISTATS conference has been held every two years in North America. At the 2009 conference, with the support of the EU funded PASCAL II Network of Excellence (www.pascal-network.org), the decision was made to bring the conference to Europe for the first time. Starting in 2010 AISTATS will be held every year, alternating the venue between Europe and North America.
Twenty-Fourth AAAI Conference on Artificial Intelligence 2010-07-11 2010-07-15 2009-12-01 2010-02-06
Atlanta, USA

 AAAI is delighted to announce that the Twenty-Fourth AAAI Conference on Artificial Intelligence will be held at the Westin Peachtree Plaza in Atlanta, Georgia. The purpose of the AAAI-10 conference is to promote research in AI and scientific exchange among AI researchers, practitioners, scientists, and engineers in related disciplines.
Seventh International Symposium on Neural Networks 2010-06-06 2010-06-09 2009-12-01 2010-01-01
Shanghai, China

 ISNN 2010 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.
Start Date End Date Papers Due Notification Date
8th International Symposium on Intelligent Automation and Control 2010-09-19 2010-09-23 2009-12-15 2010-02-15
Kobe, Japan

 The 2010 World Automation Congress International Symposium on Intelligent Automation and Control will bring together researchers from multiple disciplines to advance the use of artificial intelligence in the control and/or development of automated systems.
International Conference on Cognitive and Neural Systems Engineering 2010-05-26 2010-05-28 2010-01-25 2010-02-22
Tokyo, Japan

 The International Conference on Cognitive and Neural Systems Engineering (ICCNSE 2010) aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Cognitive and Neural Systems Engineering, and discuss the practical challenges encountered and the solutions adopted.
International Conference on Machine Learning (ICML) 2009-06-21 2010-06-24 2010-02-01 2010-04-16
Haifa, Israel

 The 27th International Conference on Machine Learning (ICML 2010) will be held in Haifa, Israel on June 21-24, 2010. ICML is the leading international machine learning conference, attracting annually some 500 participants from all over the world. ICML is supported by the International Machine Learning Society (IMLS).
Adaptive and Learning Agents Workshop at AAMAS 2010 2010-05-10 2010-05-11 2010-02-02 2010-03-02
Toronto, Canada

 Adaptive Learning Agents encompasses diverse fields such as Computer Science, Software Engineering, Biology, as well as Cognitive and Social Sciences. The ALA workshop will focus on agent and multiagent systems which employ learning or adaptation. The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multiagent systems. It aims at bringing together not only scientists from different areas of computer science (e.g., agent architectures, reinforcement learning, and evolutionary algorithms) but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design). The workshop will serve as an inclusive forum for the discussion on ongoing or completed work in both theoretical and practical issues of adaptive and learning agents and multiagent systems.
6th IFIP Conference on Artificial Intelligence Applications & Innovations 2010-10-05 2010-10-07 2010-02-05 2010-04-21
Ayia Napa, Cyprus

 The abundance of information and increase in computing power currently enables researchers to tackle highly complicated and challenging computational problems. Solutions to such problems are now feasible using advances and innovations from the area of Artificial Intelligence. The general focus of the AIAI 2010 conference is to provide insights on how Artificial Intelligence may be applied in real world situations and serve the study, analysis and modelling of theoretical and practical issues. Also, research papers describing advanced prototypes, innovative systems, tools and techniques are encouraged. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and practical merit of the work.
Start Date End Date Papers Due Notification Date
19th European Conference on Artificial Intelligence - ECAI 2010 2010-08-16 2010-08-20 2010-02-15 2010-04-30
Lisbon, Portugal

 ECAI, is the leading Conference on Artificial Intelligence in Europe, and is a biennial organization of the European Coordinating Committee for Artificial Intelligence - ECCAI.
POMDP Practioners Workshop: solving real-world POMDP problems 2010-05-12 2010-05-13 2010-02-15 2010-03-15
Toronto, Canada

 Over the past decade, much advancement was achieved in the field of decision-theoretic planning under sensing and actuation uncertainty, i.e., Partially Observable Markov Decision Processes (POMDPs). The size of domains that POMDP solvers can handle has increased by orders of magnitude. Solvers developed ten years ago were hardly able to handle more than 10 states, while modern solvers scale up to models with millions of states. The advances in scalable POMDP algorithms have opened the door to many POMDP applications. Many researchers have successfully applied POMDPs to their problems, for instance using off-the-shelf software. Many more acknowledge the applicability of POMDPs to their problems. This workshop is intended to bring together POMDP practitioners with researchers developing POMDP algorithms. Thus, we hope to help practitioners to overcome the difficulties in adopting POMDPs to their domains, as well as point researchers to the real world challenges.
23rd Annual Conference on Learning Theory (COLT 2010) 2010-06-27 2010-06-29 2010-02-19 2010-05-07
Haifa, Israel

 The 23rd Annual Conference on Learning Theory (COLT 2010) will take place in Haifa, Israel, on June 27-29, 2010 and will be co-located with ICML 2010. We invite submissions of papers addressing theoretical aspects of machine learning and empirical inference.
Empirical Evaluations in Reinforcement Learning 2010-12-26 2010-12-27 2010-02-26 2010-06-30
Machine Learning Journal , (Journal Special Issue)

 The continuing development of a field requires a healthy exchange between theoretical advances and experimental observations. The purpose of this special issue is to assess progress in empirical evaluations of reinforcement-learning algorithms and to encourage the adoption of effective experimental methodologies. The last several years have seen new trends in uniform software interfaces between environments and learning algorithms, community comparisons and competitions, and an increased interest in experimenting with reinforcement learning in embedded systems. The emphasis of the special issue is not on the development of novel algorithms. Instead, papers will be assessed in terms of the insights they provide about how best to assess performance in reinforcement learning, i.e., the "meta" problem of evaluating the evaluation methodologies themselves. In particular, papers presenting empirical results should also discuss what those results reveal about the strengths and weaknesses of the evaluation methodology. Similarly, papers describing real-life applications should make clear what limitations the application exposes in 'off-the-shelf' methods, how the employed method had to be modified to address real-world complications, and what the results show that could not be learned from experiments in 'toy' domains. Papers proposing new evaluation methodologies should include illustrative empirical results offering insights that would be difficult to obtain with conventional methodologies. Finally, papers proposing new evaluation methodologies should also compare and contrast with methodologies in related areas, e.g. supervised learning, explaining why such methodologies are not adequate and what ideas, if any, can be borrowed from them.
2010 IEEE Conference on Computational Intelligence and Games 2010-08-18 2010-08-21 2010-03-15 2010-05-15
Copenhagen, Denmark

 Games have proven to be an ideal domain for the study of computational intelligence as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. Additionally, methods from computational intelligence promise to have a big impact on game development, assisting designers and developers and enabling new types of computer games. The 2010 IEEE Conference on Computational Intelligence and Games brings together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this quickly moving field.
Start Date End Date Papers Due Notification Date
Sixth International Conference on Intelligent Computing 2010-08-18 2010-08-21 2010-03-25 2010-05-10
Changsha, China

 This is the Sixth International Conference on Intelligent Computing, which is built upon the success of ICIC'05, ICIC'06, ICIC'07, ICIC’08 and ICIC'09 held in Hefei, Kunming, Qingdao and Shanghai, China, and Ulsan, Korea, respectively. 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.
IEEE International Workshop on Machine Learning for Signal Processing 2010-08-29 2010-09-01 2010-04-01 2010-05-28
Kittila, Finland

 Machine learning in multi-dimensional and statistical signal processing is concerned with tasks such as detection, estimation, prediction, classification, and optimization. Typical approaches are modern implementations of supervised, unsupervised, reinforcement and semi-supervised learning, for instance using probabilistic modeling and kernel methods. Machine learning has a wide range of applications: adaptive filtering, time-series analysis, pattern recognition, image processing, computer vision, data mining and visualization, information retrieval, robot control, data fusion, blind source separation, sparse and structured representations, context modeling, multimodal interfaces, neuroinformatics, bioinformatics, sensor networks, cognitive radio, etc. Also, in many applications, hardware implementations are important due to large amounts of data to be processed and real-time processing requirements.
6th International Conference on Intelligent Information Processing 2010-10-13 2010-10-16 2010-04-01 2010-05-01
Manchester, UK

 The IIP conference series provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in any aspects of intelligent information processing. This time, we especially encourage papers on knowledge discovery, intelligent Web, intelligent agents, machine learning, autonomic reasoning, intelligence science etc. We also welcome papers that highlight successful modern applications of IIP, such as biomedicine, e-Services, e-Learning, business intelligence. IIP2010 attempts to meet the needs of a large and diverse community.
BENELEARN 2010 2010-05-27 2010-05-28 2010-04-02 2010-04-26
Katholieke Universiteit Leuven, Belgium

 Benelearn is the annual machine learning conference of Belgium and The Netherlands. It serves as a forum for researchers to exchange ideas, present recent work, and foster collaboration in the broad field of Machine Learning and its applications. Benelearn 2010 will be organised by the Department of Computer Science of the Katholieke Universiteit Leuven. The conference will take place on May 27 and 28, 2010 in Leuven, Belgium. Contributions are now being invited that are relevant to machine learning and related disciplines in a broad sense.
The 21st International Conference on Algorithmic Learning Theory 2010-10-06 2010-10-08 2010-05-05 2010-06-14
Canberra, Australia

 The 21st International Conference on Algorithmic Learning Theory (ALT 2010) will be held in Canberra, during 6-8 October 2010. The conference is on the theoretical foundations of machine learning. The conference will be co-located with the 13th International Conference on Discovery Science (DS 2010) and after the Machine Learning Summer School to be held at the Australian National University.
Start Date End Date Papers Due Notification Date
Eighth International Conference on Simulated Evolution And Learning (SEAL-2010) 2010-12-01 2010-12-04 2010-07-05 2010-08-16
Kanpur, India

 Simulated Evolution and Learning SEAL-2010 is the eighth biennial conference in the highly successful conference series that aims at exploring these two forms of adaptation and their roles and interactions in adaptive systems. Any paper involving evolution as a vehicle for adaptive and artificial problem solving tasks and any form of computational and machine learning procedure for developing and analyzing adaptive or artificial systems will be of interest to this conference. Cross-fertilisation between evolutionary learning and other machine learning approaches, such as neural network learning, reinforcement learning, decision tree learning, fuzzy system learning, etc., are encouraged by the conference. The other major theme of the conference is optimization problem solving by evolutionary approaches or hybrid evolutionary approaches. The topics of interest to this conference include but are not limited to the following: Evolutionary Learning; Evolutionary Optimization (single and multi-objective); Hybrid Learning; Hybrid Optimization, Adaptive Systems; Theoretical Issues in Evolutionary Computation; Real-World Applications of Evolutionary Computation and Learning Techniques. See Call For Papers for further details.
Last updated on January 26, 2010

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