A. V. Clemente, H. N. Castejón, and A. Chandra, Efficient Parallel Methods for Deep Reinforcement Learning, In Proceedings of the 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), ArXiv e-prints, 2017.
P. R. Lewis, K.H. Glette, A. Chandra (Ch. 2 and 3); S.C. Stilkerich, P. R. Lewis, K.H. Glette, A. Chandra (Ch. 4); J. Torresen, K. Nymoen, A. Chandra (Ch. 14), Chapters 2, 3, 4, and 14, Self-aware Computing Systems: An Engineering Approach, Springer, 2016.
P. R. Lewis, A. Chandra, F. Faniyi, K. Glette, T. Chen, R. Bahsoon, J. Torresen, and X. Yao, Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering, Computer, IEEE, 2015.
P. R. Lewis, L. Esterle, A. Chandra, B. Rinner, J. Torresen, and X. Yao, Static, Dynamic and Adaptive Heterogeneity in Distributed Smart Camera Networks, ACM Transactions on Autonomous and Adaptive Systems (TAAS), ACM, 2015.
K. Nymoen, A. Chandra, K.H. Glette and J. Torresen, Decentralized Harmonic Synchronization in Mobile Music Systems, In Proceedings of the International Conference on Awareness Science and Technology (ICAST), IEEE, 2014.
K. Van Moffaert, T. Brys, A. Chandra, L. Esterle, P.R. Lewis and A. Nowe, A Novel Adaptive Weight Selection Algorithm for Multi-Objective Multi-Agent Reinforcement Learning, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), IEEE, 2014.
K. Nymoen, A. Chandra, K.H. Glette, J. Torresen, A. Voldsund and A.R. Jensenius, PheroMusic: Navigating a Musical Space for Active Music Experiences, In Proceedings of the Joint 40th International Computer Music Conference (ICMC) and the 11th Sound and Music Computing Conference (SMC), The International Computer Music Association, 2014.
K. Nymoen, A. Chandra, and J. Torresen, The Challenge of Decentralised Synchronisation in Interactive Music Systems, In Proceedings of the IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), IEEE, 2013.
G. Nebehay, W. Chibamu, P. R. Lewis, A. Chandra, R. Pflugfelder, and X. Yao, Can diversity amongst learners improve online object tracking?, In Proceedings of the 11th International Workshop on Multiple Classifier Systems (MCS), Springer, 2013.
A. Chandra, R. Allmendinger, and P. R. Lewis, Automating mechanism design using evolutionary multi-criteria optimisation, In Proceedings of the 22nd International Conference on Multiple Criteria Decision Making (MCDM), , 2013.
P. R. Lewis, L. Esterle, A. Chandra, B. Rinner, and X. Yao, Learning to be different: Heterogeneity and efficiency in distributed smart camera networks, In Proceedings of the IEEE Conference on Self-Adaptive and Self-Organizing Systems (SASO), IEEE, 2013.
A. Chandra, R. Allmendinger, P. R. Lewis, X. Yao, and J. Torresen, Exposing market mechanism design trade-offs via multi-objective evolutionary search, In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, 2013.
S. Song, A. Chandra, and J. Torresen, An ant learning algorithm for gesture recognition with one-instance training, In Proceedings of the IEEE Congress on Evolutionary Computation (CEC), IEEE, 2013.
A. Chandra, K. Nymoen, A. Voldsund, A. R. Jensenius, K. Glette, and J. Torresen, Market based control in interactive music environments, In M. Aramaki, M. Barthet, R. Kronland-Martinet, and S. Ystad, editors, Post-Proceedings of the International Symposium on Computer Music Modeling and Retrieval (CMMR), Springer, 2013.
K. Nymoen, A. Chandra, M. Kozak, R. I. Godøy, J. Torresen, and A. Voldsund, Extracting action symbols from continuous motion data, Poster at the 12th ICMPC (International Conference on Music Perception and Cognition) and 8th ESCOM (Triennial Conference of the European Society for the Cognitive Sciences of Music) Joint Conference, , 2012.
A. Chandra, K. Nymoen, A. Voldsund, A. R. Jensenius, K. Glette, and J. Torresen, Enabling participants to play rhythmic solos within a group via auctions, In Proceedings of the International Symposium on Computer Music Modeling and Retrieval (CMMR), , 2012.
T. Becker, A. Agne, P. R. Lewis, R. Bahsoon, F. Faniyi, L. Esterle, A. Keller, A. Chandra, A.R. Jensenius, and S.C. Stilkerich, EPiCS: Engineering Proprioception in Computing Systems, In Proceedings of the 10th IEEE/IFIP Conference on Embedded and Ubiquitous Computing (EUC), IEEE, 2012.
P. R. Lewis, A. Chandra, S. Parsons, E. Robinson, K. Glette, R. Bahsoon, J. Torresen, and X. Yao, A survey of self-awareness and its application in computing systems, In Proceedings of the Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW), IEEE, 2011.
A. Chandra, P. S. Oliveto, and X. Yao, Co-evolution of optimal agents for the alternating offers bargaining game, In Proceedings of the European Conference on Applications of Evolutionary Computation (EvoApplications), Springer, 2010.
A. Chandra and X. Yao, Multi-objective ensemble construction, learning and evolution, In Proceedings of the Workshop on Multi-objective Problem Solving from Nature - part of the 9th International Conference on Parallel Problem Solving from Nature (PPSN), , 2006.
A. Chandra and X. Yao, Evolving hybrid ensembles of learning machines for better generalisation, Neurocomputing, Elsevier, 2006.
A. Chandra and X. Yao, Ensemble learning using multi-objective evolutionary algorithms, Journal of Mathematical Modelling and Algorithms, Springer, 2006.
A. Chandra, H. Chen, and X. Yao, Trade-off between diversity and accuracy in ensemble generation, Multi-objective Machine Learning, Springer, 2006.
A. Chandra and X. Yao, Evolutionary framework for the construction of diverse hybrid ensembles, In Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN), ESANN, 2005.
A. Chandra and X. Yao, DIVACE: Diverse and accurate ensemble learning algorithm, In Proceedings of the 5th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), Springer, 2004.
arjun chandra

Email:
/ 'full.name'@telenor.com
/ 'name'@studix.com
/ 'surname'@ifi.uio.no

@boelger

View Arjun Chandra's profile on LinkedIn