Joni Pajarinen

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 89

Top Venues

CoRR

IEEE Robotics Autom. Lett.

IROS

ICML

Aalto University, Helsinki, Finland (PHD)

Education History

Aalto University, Helsinki, Finland

PHD

Publications

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
Backpropagation Through Agents. CoRR (2024)
Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
AgentMixer: Multi-Agent Correlated Policy Factorization. CoRR (2024)
Abdolreza Taheri, Robert Pettersson, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo
Towards Energy Efficient Control for Commercial Heavy-Duty Mobile Cranes: Modeling Hydraulic Pressures using Machine Learning. CoRR (2023)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hierarchical Imitation Learning with Vector Quantized Models. CoRR (2023)
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
Simplified Temporal Consistency Reinforcement Learning. ICML (2023)
Pascal Klink, Florian Wolf, Kai Ploeger, Jan Peters, Joni Pajarinen
Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning. CoRR (2023)
Joni Pajarinen, Jens Lundell, Ville Kyrki
POMDP Planning Under Object Composition Uncertainty: Application to Robotic Manipulation. IEEE Trans. Robotics 39 (1) (2023)
Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard
Monte-Carlo tree search with uncertainty propagation via optimal transport. CoRR (2023)
Wenyan Yang, Huiling Wang, Dingding Cai, Joni Pajarinen, Joni-Kristian Kämäräinen
Swapped goal-conditioned offline reinforcement learning. CoRR (2023)
Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. ITSC (2023)
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. NeurIPS (2023)
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. CoRR (2023)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hierarchical Imitation Learning with Vector Quantized Models. ICML (2023)
Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Sparse Function-space Representation of Neural Networks. CoRR (2023)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hybrid Search for Efficient Planning with Completeness Guarantees. CoRR (2023)
Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. CoRR (2023)
Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. CoRR (2023)
Qingfeng Yao, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin Li, Cong Wang
Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment. IEEE Robotics Autom. Lett. 8 (12) (2023)
Mikko Lauri, David Hsu, Joni Pajarinen
Partially Observable Markov Decision Processes in Robotics: A Survey. IEEE Trans. Robotics 39 (1) (2023)
Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
Optimistic Multi-Agent Policy Gradient for Cooperative Tasks. CoRR (2023)
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kämäräinen
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation. ICRA (2023)
Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen
State-Conditioned Adversarial Subgoal Generation. AAAI (2023)
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kämäräinen
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation. CoRR (2023)
Wenshuai Zhao, Eetu-Aleksi Rantala, Joni Pajarinen, Jorge Peña Queralta
Less Is More: Robust Robot Learning via Partially Observable Multi-Agent Reinforcement Learning. CoRR (2023)
Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
Hybrid Search for Efficient Planning with Completeness Guarantees. NeurIPS (2023)
Wenyan Yang, Joni Pajarinen, Dinging Cai, Joni-Kristian Kämäräinen
Prioritized offline Goal-swapping Experience Replay. CoRR (2023)
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
Simplified Temporal Consistency Reinforcement Learning. CoRR (2023)
Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. Algorithms 15 (3) (2022)
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
Topological Experience Replay. CoRR (2022)
Mikko Lauri, David Hsu, Joni Pajarinen
Partially Observable Markov Decision Processes in Robotics: A Survey. CoRR (2022)
Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen
Monte-Carlo Robot Path Planning. CoRR (2022)
Wenshuai Zhao, Joni Pajarinen
Self-Paced Multi-Agent Reinforcement Learning. CoRR (2022)
Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control. ICRA (2022)
Nataliya Strokina, Wenyan Yang, Joni Pajarinen, Nikolay Serbenyuk, Joni-Kristian Kämäräinen, Reza Ghabcheloo
Visual Rewards From Observation for Sequential Tasks: Autonomous Pile Loading. Frontiers Robotics AI 9 (2022)
Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
Redeeming intrinsic rewards via constrained optimization. NeurIPS (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN (2022)
Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo
GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control. CoRR (2022)
Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Boosted Curriculum Reinforcement Learning. ICLR (2022)
Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
Continuous Monte Carlo Graph Search. CoRR (2022)
Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. CoRR (2022)
Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen
Monte-Carlo Robot Path Planning. IEEE Robotics Autom. Lett. 7 (4) (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR (2022)
Pascal Klink, Haoyi Yang, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Curriculum Reinforcement Learning via Constrained Optimal Transport. ICML (2022)
Abdolreza Taheri, Pelle Gustafsson, Marcus Rösth, Reza Ghabcheloo, Joni Pajarinen
Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes. IEEE Robotics Autom. Lett. 7 (4) (2022)
Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen
Hierarchical Reinforcement Learning with Adversarially Guided Subgoals. CoRR (2022)
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
Topological Experience Replay. ICLR (2022)
Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
Redeeming Intrinsic Rewards via Constrained Optimization. CoRR (2022)
Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. J. Mach. Learn. Res. 22 (2021)
Lauri Alho, Adrian Burian, Janne Helenius, Joni Pajarinen
Machine Learning Based Mobile Network Throughput Classification. WCNC (2021)
Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. CoRR (2021)
Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters
Latent Derivative Bayesian Last Layer Networks. AISTATS (2021)
Stephan Weigand, Pascal Klink, Jan Peters, Joni Pajarinen
Reinforcement Learning using Guided Observability. CoRR (2021)
Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
Neural Network Controller for Autonomous Pile Loading Revised. CoRR (2021)
Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
Neural Network Controller for Autonomous Pile Loading Revised. ICRA (2021)
Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Convex Regularization in Monte-Carlo Tree Search. ICML (2021)
Joni Pajarinen
Technical Report: The Policy Graph Improvement Algorithm. CoRR (2020)
Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Self-Paced Deep Reinforcement Learning. CoRR (2020)
Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Convex Regularization in Monte-Carlo Tree Search. CoRR (2020)
Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop
Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. CoRR (2020)
Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Generalized Mean Estimation in Monte-Carlo Tree Search. IJCAI (2020)
Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
Deep Adversarial Reinforcement Learning for Object Disentangling. IROS (2020)
Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. CoRR (2020)
Mikko Lauri, Joni Pajarinen, Jan Peters
Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement. Auton. Agents Multi Agent Syst. 34 (2) (2020)
Joni Pajarinen, Jens Lundell, Ville Kyrki
POMDP Manipulation Planning under Object Composition Uncertainty. CoRR (2020)
Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
Probabilistic approach to physical object disentangling. CoRR (2020)
Lauri Alho, Adrian Burian, Janne Helenius, Joni Pajarinen
Machine Learning Based Mobile Network Throughput Classification. CoRR (2020)
Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
Deep Adversarial Reinforcement Learning for Object Disentangling. CoRR (2020)
Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
Probabilistic Approach to Physical Object Disentangling. IEEE Robotics Autom. Lett. 5 (4) (2020)
Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop
Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. IEEE Robotics Autom. Lett. 5 (4) (2020)
Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Self-Paced Deep Reinforcement Learning. NeurIPS (2020)
Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Generalized Mean Estimation in Monte-Carlo Tree Search. CoRR (2019)
Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters
Exploration Driven by an Optimistic Bellman Equation. IJCNN (2019)
Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters
Learning Intention Aware Online Adaptation of Movement Primitives. IEEE Robotics Autom. Lett. 4 (4) (2019)
Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann
Projections for Approximate Policy Iteration Algorithms. ICML (2019)
Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
Compatible Natural Gradient Policy Search. CoRR (2019)
Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
Compatible natural gradient policy search. Mach. Learn. 108 (8-9) (2019)
Mikko Lauri, Joni Pajarinen, Jan Peters
Information Gathering in Decentralized POMDPs by Policy Graph Improvement. CoRR (2019)
Mikko Lauri, Joni Pajarinen, Jan Peters
Information Gathering in Decentralized POMDPs by Policy Graph Improvement. AAMAS (2019)
Zhang-Wei Hong, Joni Pajarinen, Jan Peters
Model-based Lookahead Reinforcement Learning. CoRR (2019)
Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters
An Algorithmic Perspective on Imitation Learning. CoRR (2018)
Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters
An Algorithmic Perspective on Imitation Learning. Found. Trends Robotics 7 (1-2) (2018)
Janine Hoelscher, Dorothea Koert, Jan Peters, Joni Pajarinen
Utilizing Human Feedback in POMDP Execution and Specification. Humanoids (2018)
Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann
Hybrid control trajectory optimization under uncertainty. IROS (2017)
Joni Pajarinen, Ville Kyrki
Robotic manipulation of multiple objects as a POMDP. Artif. Intell. 247 (2017)
Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann
Hybrid control trajectory optimization under uncertainty. CoRR (2017)
Aleksi Ikkala, Joni Pajarinen, Ville Kyrki
Benchmarking RGB-D Segmentation: Toy Dataset of Complex Crowded Scenes. VISIGRAPP (4: VISAPP) (2016)
Mattia Racca, Joni Pajarinen, Alberto Montebelli, Ville Kyrki
Learning in-contact control strategies from demonstration. IROS (2016)
Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor
Sparse Latent Space Policy Search. AAAI (2016)
Joni Pajarinen, Ville Kyrki
Decision making under uncertain segmentations. ICRA (2015)
Joni Pajarinen, Ari Hottinen, Jaakko Peltonen
Optimizing Spatial and Temporal Reuse inWireless Networks by Decentralized Partially Observable Markov Decision Processes. IEEE Trans. Mob. Comput. 13 (4) (2014)
Polychronis Kondaxakis, Joni Pajarinen, Ville Kyrki
Real-time recognition of pointing gestures for robot to robot interaction. IROS (2014)
Joni Pajarinen, Ville Kyrki
Robotic manipulation of multiple objects as a POMDP. CoRR (2014)
Joni Pajarinen, Ville Kyrki
Robotic manipulation in object composition space. IROS (2014)
Joni Pajarinen, Jaakko Peltonen
Expectation Maximization for Average Reward Decentralized POMDPs. ECML/PKDD (1) (2013)
Joni Pajarinen, Jaakko Peltonen
Efficient Planning for Factored Infinite-Horizon DEC-POMDPs. IJCAI (2011)
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
Fault tolerant machine learning for nanoscale cognitive radio. Neurocomputing 74 (5) (2011)
Joni Pajarinen, Jaakko Peltonen
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. NIPS (2011)
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. ECML/PKDD (3) (2010)
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo, Ari Hottinen
Latent state models of primary user behavior for opportunistic spectrum access. PIMRC (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joni Pajarinen