Joni Pajarinen

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Jan PetersProfessor for Intelligent Autonomous Systems at Technische Universität DarmstadtVerified email at ias.tu-darmstadt.de
Ville KyrkiAssociate Professor at Aalto UniversityVerified email at aalto.fi
Jaakko PeltonenProfessor, Tampere UniversityVerified email at tuni.fi
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
Carlo D'EramoProfessor of Reinforcement Learning @ University of Würzburg | Group leader @ hessian.AIVerified email at uni-wuerzburg.de
Mikko LauriSilo AIVerified email at silo.ai
Pascal KlinkTU DarmstadtVerified email at ias.tu-darmstadt.de
Ari HottinenNokiaVerified email at ieee.org
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Takayuki OsaUniversity of Tokyo / RIKEN AIPVerified email at mi.t.u-tokyo.ac.jp
J. Andrew BagnellCarnegie Mellon UniversityVerified email at ri.cmu.edu
Mikko A. UusitaloHead of Research Department, Wireless Advanced Technologies, Nokia Bell LabsVerified email at nokia-bell-labs.com
Joni-Kristian KämäräinenProfessor of Signal Processing, Tampere UniversityVerified email at tuni.fi
Riad AkrourInria ScoolVerified email at inria.fr
Zhang-Wei HongMassachusetts Institute of TechnologyVerified email at mit.edu
Yang WengThe University of TokyoVerified email at iis.u-tokyo.ac.jp
Toshihiro MakiInstitute of Industrial Science, The Univ. of TokyoVerified email at iis.u-tokyo.ac.jp
Tuan DamPostdoc Fellow, Scool, INRIAVerified email at inria.fr
Wenyan YangDoctoral Student, Tampere UniversityVerified email at tuni.fi
Dorothea KoertIndependent Research Group Leader, TU DarmstadtVerified email at robot-learning.de

Joni Pajarinen

Assistant Professor at Aalto University

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	633	2018
Robotic manipulation of multiple objects as a POMDP J Pajarinen, V Kyrki Artificial Intelligence 247, 213-228, 2017	71	2017
Periodic finite state controllers for efficient POMDP and DEC-POMDP planning J Pajarinen, J Peltonen Advances in neural information processing systems 24, 2011	67	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	62	2016
Efficient planning for factored infinite-horizon DEC-POMDPs J Pajarinen, J Peltonen IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011	48	2011
Processing of data packets within a network element cluster A Kuukankorpi, J Pajarinen, C Jalio, M Nippula US Patent 7,130,305, 2006	36	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	29	2013
Self-Paced Deep Reinforcement Learning P Klink, C D'Eramo, J Peters, J Pajarinen Advances in Neural Information Processing Systems (NeurIPS), 2020	27	2020
Learning intention aware online adaptation of movement primitives D Koert, J Pajarinen, A Schotschneider, S Trick, C Rothkopf, J Peters IEEE Robotics and Automation Letters 4 (4), 3719-3726, 2019	22	2019
Robotic manipulation in object composition space J Pajarinen, V Kyrki 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 1-6, 2014	22	2014
Compatible natural gradient policy search J Pajarinen, HL Thai, R Akrour, J Peters, G Neumann Machine Learning 108, 1443-1466, 2019	19	2019
Multi-sensor next-best-view planning as matroid-constrained submodular maximization M Lauri, J Pajarinen, J Peters, S Frintrop IEEE Robotics and Automation Letters 5 (4), 5323-5330, 2020	18	2020
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	18	2017
Decision making under uncertain segmentations J Pajarinen, V Kyrki 2015 IEEE International Conference on Robotics and Automation (ICRA), 1303-1309, 2015	17	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	16	2016
Latent Derivative Bayesian Last Layer Networks J Watson, JA Lin, P Klink, J Pajarinen, J Peters International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021	14	2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning P Klink, H Abdulsamad, B Belousov, C D'Eramo, J Peters, J Pajarinen Journal of Machine Learning Research 22 (182), 1-52, 2021	13	2021
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	13	2019
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	13	2014
Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement M Lauri, J Pajarinen, J Peters Autonomous Agents and Multi-Agent Systems 34, 1-44, 2020	12	2020

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