Joni Pajarinen

According to our database, Joni Pajarinen authored at least 74 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Function-space Parameterization of Neural Networks for Sequential Learning.

Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin

CoRR, 2024

AgentMixer: Multi-Agent Correlated Policy Factorization.

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

CoRR, 2024

Backpropagation Through Agents.

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment.

Qingfeng Yao, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin Li, Cong Wang

IEEE Robotics Autom. Lett., December, 2023

POMDP Planning Under Object Composition Uncertainty: Application to Robotic Manipulation.

Joni Pajarinen, Jens Lundell, Ville Kyrki

IEEE Trans. Robotics, February, 2023

Partially Observable Markov Decision Processes in Robotics: A Survey.

Mikko Lauri, David Hsu, Joni Pajarinen

IEEE Trans. Robotics, February, 2023

Optimistic Multi-Agent Policy Gradient for Cooperative Tasks.

Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen

CoRR, 2023

Less Is More: Robust Robot Learning via Partially Observable Multi-Agent Reinforcement Learning.

Wenshuai Zhao, Eetu-Aleksi Rantala, Joni Pajarinen, Jorge Peña Queralta

CoRR, 2023

Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning.

Pascal Klink, Florian Wolf, Kai Ploeger, Jan Peters, Joni Pajarinen

CoRR, 2023

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning.

Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen

CoRR, 2023

Monte-Carlo tree search with uncertainty propagation via optimal transport.

Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard

CoRR, 2023

Sparse Function-space Representation of Neural Networks.

Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin

CoRR, 2023

Towards Energy Efficient Control for Commercial Heavy-Duty Mobile Cranes: Modeling Hydraulic Pressures using Machine Learning.

Abdolreza Taheri, Robert Pettersson, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo

CoRR, 2023

Swapped goal-conditioned offline reinforcement learning.

Wenyan Yang, Huiling Wang, Dingding Cai, Joni Pajarinen, Joni-Kristian Kämäräinen

CoRR, 2023

Prioritized offline Goal-swapping Experience Replay.

Wenyan Yang, Joni Pajarinen, Dinging Cai, Joni-Kristian Kämäräinen

CoRR, 2023

Hybrid Search for Efficient Planning with Completeness Guarantees.

Kalle Kujanpää, Joni Pajarinen, Alexander Ilin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets.

Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles.

Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation.

Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kämäräinen

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Simplified Temporal Consistency Reinforcement Learning.

Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen

Proceedings of the International Conference on Machine Learning, 2023

Hierarchical Imitation Learning with Vector Quantized Models.

Kalle Kujanpää, Joni Pajarinen, Alexander Ilin

Proceedings of the International Conference on Machine Learning, 2023

State-Conditioned Adversarial Subgoal Generation.

Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes.

Abdolreza Taheri, Pelle Gustafsson, Marcus Rösth, Reza Ghabcheloo, Joni Pajarinen

IEEE Robotics Autom. Lett., 2022

Monte-Carlo Robot Path Planning.

Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen

IEEE Robotics Autom. Lett., 2022

Visual Rewards From Observation for Sequential Tasks: Autonomous Pile Loading.

Nataliya Strokina, Wenyan Yang, Joni Pajarinen, Nikolay Serbenyuk, Joni-Kristian Kämäräinen, Reza Ghabcheloo

Frontiers Robotics AI, 2022

Continuous Monte Carlo Graph Search.

Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen

CoRR, 2022

Self-Paced Multi-Agent Reinforcement Learning.

Wenshuai Zhao, Joni Pajarinen

CoRR, 2022

A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search.

Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen

CoRR, 2022

Hierarchical Reinforcement Learning with Adversarially Guided Subgoals.

Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen

CoRR, 2022

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning.

Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Algorithms, 2022

Redeeming intrinsic rewards via constrained optimization.

Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control.

Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Curriculum Reinforcement Learning via Constrained Optimal Transport.

Pascal Klink, Haoyi Yang, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Proceedings of the International Conference on Machine Learning, 2022

Boosted Curriculum Reinforcement Learning.

Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Proceedings of the Tenth International Conference on Learning Representations, 2022

Topological Experience Replay.

Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.

Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning.

Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen

J. Mach. Learn. Res., 2021

Reinforcement Learning using Guided Observability.

Stephan Weigand, Pascal Klink, Jan Peters, Joni Pajarinen

CoRR, 2021

Machine Learning Based Mobile Network Throughput Classification.

Lauri Alho, Adrian Burian, Janne Helenius, Joni Pajarinen

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Neural Network Controller for Autonomous Pile Loading Revised.

Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Convex Regularization in Monte-Carlo Tree Search.

Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Proceedings of the 38th International Conference on Machine Learning, 2021

Latent Derivative Bayesian Last Layer Networks.

Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Probabilistic Approach to Physical Object Disentangling.

Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann

IEEE Robotics Autom. Lett., 2020

Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization.

Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop

IEEE Robotics Autom. Lett., 2020

POMDP Manipulation Planning under Object Composition Uncertainty.

Joni Pajarinen, Jens Lundell, Ville Kyrki

CoRR, 2020

Technical Report: The Policy Graph Improvement Algorithm.

Joni Pajarinen

CoRR, 2020

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement.

Mikko Lauri, Joni Pajarinen, Jan Peters

Auton. Agents Multi Agent Syst., 2020

Self-Paced Deep Reinforcement Learning.

Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Adversarial Reinforcement Learning for Object Disentangling.

Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Generalized Mean Estimation in Monte-Carlo Tree Search.

Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Learning Intention Aware Online Adaptation of Movement Primitives.

Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters

IEEE Robotics Autom. Lett., 2019

Compatible natural gradient policy search.

Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann

Mach. Learn., 2019

Model-based Lookahead Reinforcement Learning.

Zhang-Wei Hong, Joni Pajarinen, Jan Peters

CoRR, 2019

Exploration Driven by an Optimistic Bellman Equation.

Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters

Proceedings of the International Joint Conference on Neural Networks, 2019

Projections for Approximate Policy Iteration Algorithms.

Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann

Proceedings of the 36th International Conference on Machine Learning, 2019

Information Gathering in Decentralized POMDPs by Policy Graph Improvement.

Mikko Lauri, Joni Pajarinen, Jan Peters

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

An Algorithmic Perspective on Imitation Learning.

Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters

Found. Trends Robotics, 2018

Utilizing Human Feedback in POMDP Execution and Specification.

Janine Hoelscher, Dorothea Koert, Jan Peters, Joni Pajarinen

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017

Robotic manipulation of multiple objects as a POMDP.

Joni Pajarinen, Ville Kyrki

Artif. Intell., 2017

Hybrid control trajectory optimization under uncertainty.

Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Benchmarking RGB-D Segmentation: Toy Dataset of Complex Crowded Scenes.

Aleksi Ikkala, Joni Pajarinen, Ville Kyrki

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Learning in-contact control strategies from demonstration.

Mattia Racca, Joni Pajarinen, Alberto Montebelli, Ville Kyrki

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Sparse Latent Space Policy Search.

Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Decision making under uncertain segmentations.

Joni Pajarinen, Ville Kyrki

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Optimizing Spatial and Temporal Reuse inWireless Networks by Decentralized Partially Observable Markov Decision Processes.

Joni Pajarinen, Ari Hottinen, Jaakko Peltonen

IEEE Trans. Mob. Comput., 2014

Robotic manipulation in object composition space.

Joni Pajarinen, Ville Kyrki

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Real-time recognition of pointing gestures for robot to robot interaction.

Polychronis Kondaxakis, Joni Pajarinen, Ville Kyrki

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

Planning under uncertainty for large-scale problems with applications to wireless networking ; Päätöksenteko epävarmuuden vallitessa suurissa ongelmissa ja sovelluksia langattomaan tiedonsiirtoon.

Joni Pajarinen

PhD thesis, 2013

Expectation Maximization for Average Reward Decentralized POMDPs.

Joni Pajarinen, Jaakko Peltonen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2011

Fault tolerant machine learning for nanoscale cognitive radio.

Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo

Neurocomputing, 2011

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning.

Joni Pajarinen, Jaakko Peltonen

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Efficient Planning for Factored Infinite-Horizon DEC-POMDPs.

Joni Pajarinen, Jaakko Peltonen

Proceedings of the IJCAI 2011, 2011

2010

Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations.

Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Latent state models of primary user behavior for opportunistic spectrum access.

Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo, Ari Hottinen

Proceedings of the IEEE 20th International Symposium on Personal, 2009