Joni Pajarinen

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Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Jaakko PeltonenProfessor, Tampere UniversityVerified email at tuni.fi
Ville KyrkiAssociate Professor at Aalto UniversityVerified email at aalto.fi
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
Ari HottinenPrh-Finnish Patent Office/FinlandVerified email at ieee.org
Mikko A. UusitaloHead of Research Department, Wireless Advanced Technologies, Nokia Bell LabsVerified email at nokia-bell-labs.com
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Takayuki OsaKyushu Institute of Technology / RIKEN AIPVerified email at brain.kyutech.ac.jp
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Carlo D'EramoPostdoctoral researcher @ Technische Universität DarmstadtVerified email at robot-learning.de
Mikko LauriUniversity of HamburgVerified email at informatik.uni-hamburg.de
Alberto MontebelliUniversity of SkövdeVerified email at his.se
Mattia RaccaIdiap Research InstituteVerified email at idiap.ch
Pascal KlinkTU DarmstadtVerified email at ias.tu-darmstadt.de
Riad AkrourIAS - TU DarmstadtVerified email at robot-learning.de
Dorothea KoertPostDoc, TU DarmstadtVerified email at robot-learning.de
Michael KovalDirector of Engineering, Berkshire GreyVerified email at berkshiregrey.com
Siddhartha SrinivasaBoeing Endowed Professor, University of WashingtonVerified email at cs.washington.edu
Kevin Sebastian LuckThe University of EdinburghVerified email at ed.ac.uk
Erik BergerTU BA FreibergVerified email at informatik.tu-freiberg.de

Joni Pajarinen

Assistant Professor at Aalto University and Research Group Leader at IAS at TU Darmstadt

Verified email at aalto.fi - Homepage

Reinforcement Learning Robotics Machine Learning


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An Algorithmic Perspective on Imitation Learning T Osa, J Pajarinen, G Neumann, JA Bagnell, P Abbeel, J Peters Foundations and Trends in Robotics 7 (1-2), 1-179, 2018	244	2018
Periodic finite state controllers for efficient POMDP and DEC-POMDP planning J Pajarinen, J Peltonen Advances in Neural Information Processing Systems 24, 2636-2644, 2011	53	2011
Robotic manipulation of multiple objects as a POMDP J Pajarinen, V Kyrki Artificial Intelligence 247, 213-228, 2017	42	2017
Efficient planning for factored infinite-horizon DEC-POMDPs J Pajarinen, J Peltonen IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011	41	2011
Learning in-contact control strategies from demonstration M Racca, J Pajarinen, A Montebelli, V Kyrki 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	39	2016
Processing of data packets within a network element cluster A Kuukankorpi, J Pajarinen, C Jalio, M Nippula US Patent 7,130,305, 2006	35	2006
Optimizing spatial and temporal reuse in wireless networks by decentralized partially observable Markov decision processes J Pajarinen, A Hottinen, J Peltonen IEEE Transactions on Mobile Computing 13 (4), 866-879, 2013	25	2013
Robotic manipulation in object composition space J Pajarinen, V Kyrki 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 1-6, 2014	16	2014
Hybrid control trajectory optimization under uncertainty J Pajarinen, V Kyrki, M Koval, S Srinivasa, J Peters, G Neumann 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017	14	2017
Decision making under uncertain segmentations J Pajarinen, V Kyrki 2015 IEEE International Conference on Robotics and Automation (ICRA), 1303-1309, 2015	14	2015
Sparse latent space policy search K Luck, J Pajarinen, E Berger, V Kyrki, HB Amor Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	13	2016
Real-time recognition of pointing gestures for robot to robot interaction P Kondaxakis, J Pajarinen, V Kyrki 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	12	2014
Fault tolerant machine learning for nanoscale cognitive radio J Pajarinen, J Peltonen, MA Uusitalo Neurocomputing 74 (5), 753-764, 2011	9	2011
Compatible natural gradient policy search J Pajarinen, HL Thai, R Akrour, J Peters, G Neumann Machine Learning 108 (8), 1443-1466, 2019	8	2019
Expectation maximization for average reward decentralized POMDPs J Pajarinen, J Peltonen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013	8	2013
Forecasting of dynamic environmental parameters to optimize operation of a wireless communication system MA Uusitalo, A Hottinen, JT Peltonen, JK Pajarinen US Patent 8,862,138, 2014	6	2014
Latent state models of primary user behavior for opportunistic spectrum access J Pajarinen, J Peltonen, MA Uusitalo, A Hottinen 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio …, 2009	6	2009
Projections for approximate policy iteration algorithms R Akrour, J Pajarinen, J Peters, G Neumann International Conference on Machine Learning, 181-190, 2019	5	2019
Information gathering in decentralized POMDPs by policy graph improvement M Lauri, J Pajarinen, J Peters International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2019	5	2019
Self-Paced Deep Reinforcement Learning P Klink, C D'Eramo, J Peters, J Pajarinen Advances in Neural Information Processing Systems (NeurIPS), 2020	4	2020

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