| 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 | 931 | 2018 |
| Partially Observable Markov Decision Processes in Robotics: A Survey M Lauri, D Hsu, J Pajarinen IEEE Transactions on Robotics 39 (1), 21-40, 2022 | 93 | 2022 |
| Robotic manipulation of multiple objects as a POMDP J Pajarinen, V Kyrki Artificial Intelligence 247, 213-228, 2017 | 78 | 2017 |
| Periodic finite state controllers for efficient POMDP and DEC-POMDP planning J Pajarinen, J Peltonen Advances in neural information processing systems 24, 2011 | 72 | 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 | 71 | 2016 |
| Self-Paced Deep Reinforcement Learning P Klink, C D'Eramo, J Peters, J Pajarinen Advances in Neural Information Processing Systems (NeurIPS), 2020 | 54 | 2020 |
| Efficient planning for factored infinite-horizon DEC-POMDPs J Pajarinen, J Peltonen IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011 | 45 | 2011 |
| 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 | 36 | 2019 |
| 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 |
| 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 | 35 | 2020 |
| Curriculum reinforcement learning via constrained optimal transport P Klink, H Yang, C D’Eramo, J Pajarinen, J Peters International Conference on Machine Learning (ICML), 11341-11358, 2022 | 34 | 2022 |
| 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 | 33 | 2013 |
| Redeeming Intrinsic Rewards via Constrained Optimization E Chen, ZW Hong, J Pajarinen, P Agrawal Advances in Neural Information Processing Systems (NeurIPS), 2022 | 31 | 2022 |
| 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 | 31 | 2021 |
| Compatible natural gradient policy search J Pajarinen, HL Thai, R Akrour, J Peters, G Neumann Machine Learning 108, 1443-1466, 2019 | 27 | 2019 |
| Adaptive behavior cloning regularization for stable offline-to-online reinforcement learning Y Zhao, R Boney, A Ilin, J Kannala, J Pajarinen European Symposium on Artificial Neural Networks, Computational Intelligence …, 2022 | 25 | 2022 |
| Reinforcement learning based underwater wireless optical communication alignment for autonomous underwater vehicles Y Weng, J Pajarinen, R Akrour, T Matsuda, J Peters, T Maki IEEE Journal of Oceanic Engineering 47 (4), 1231-1245, 2022 | 24 | 2022 |
| 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 | 24 | 2021 |
| 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 (2), 42, 2020 | 22 | 2020 |
| Robotic manipulation in object composition space J Pajarinen, V Kyrki 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 1-6, 2014 | 21 | 2014 |
Jan PetersProfessor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKIVerified email at ias.tu-darmstadt.de
