Latent state models of primary user behavior for opportunistic spectrum access. - Joni Pajarinen; Jaakko Peltonen; Mikko A. Uusitalo; Ari Hottinen (PIMRC, 2009)

Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. - Joni Pajarinen; Jaakko Peltonen; Ari Hottinen; Mikko A. Uusitalo (ECML/PKDD (3), 2010)

Efficient Planning for Factored Infinite-Horizon DEC-POMDPs. - Joni Pajarinen; Jaakko Peltonen (IJCAI, 2011)

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. - Joni Pajarinen; Jaakko Peltonen (NIPS, 2011)

Fault tolerant machine learning for nanoscale cognitive radio. - Joni Pajarinen; Jaakko Peltonen; Mikko A. Uusitalo (Neurocomputing, 2011)

Expectation Maximization for Average Reward Decentralized POMDPs. - Joni Pajarinen; Jaakko Peltonen (ECML/PKDD (1), 2013)

Planning under uncertainty for large-scale problems with applications to wireless networking ; Päätöksenteko epävarmuuden vallitessa suurissa ongelmissa ja sovelluksia langattomaan tiedonsiirtoon. - Joni Pajarinen (2013)

Real-time recognition of pointing gestures for robot to robot interaction. - Polychronis Kondaxakis; Joni Pajarinen; Ville Kyrki (IROS, 2014)

Robotic manipulation in object composition space. - Joni Pajarinen; Ville Kyrki (IROS, 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)

Decision making under uncertain segmentations. - Joni Pajarinen; Ville Kyrki (ICRA, 2015)

Sparse Latent Space Policy Search. - Kevin Sebastian Luck; Joni Pajarinen; Erik Berger; Ville Kyrki; Heni Ben Amor (AAAI, 2016)

Learning in-contact control strategies from demonstration. - Mattia Racca; Joni Pajarinen; Alberto Montebelli; Ville Kyrki (IROS, 2016)

Benchmarking RGB-D Segmentation: Toy Dataset of Complex Crowded Scenes. - Aleksi Ikkala; Joni Pajarinen; Ville Kyrki (VISIGRAPP (4: VISAPP), 2016)

Hybrid control trajectory optimization under uncertainty. - Joni Pajarinen; Ville Kyrki; Michael C. Koval; Siddhartha S. Srinivasa; Jan Peters 001; Gerhard Neumann (IROS, 2017)

Robotic manipulation of multiple objects as a POMDP. - Joni Pajarinen; Ville Kyrki (Artif. Intell., 2017)

Utilizing Human Feedback in POMDP Execution and Specification. - Janine Hoelscher; Dorothea Koert; Jan Peters 001; Joni Pajarinen (Humanoids, 2018)

An Algorithmic Perspective on Imitation Learning. - Takayuki Osa; Joni Pajarinen; Gerhard Neumann; J. Andrew Bagnell; Pieter Abbeel; Jan Peters 001 (Found. Trends Robotics, 2018)

Information Gathering in Decentralized POMDPs by Policy Graph Improvement. - Mikko Lauri; Joni Pajarinen; Jan Peters 001 (AAMAS, 2019)

Projections for Approximate Policy Iteration Algorithms. - Riad Akrour; Joni Pajarinen; Jan Peters 001; Gerhard Neumann (ICML, 2019)

Exploration Driven by an Optimistic Bellman Equation. - Samuele Tosatto; Carlo D'Eramo; Joni Pajarinen; Marcello Restelli; Jan Peters 001 (IJCNN, 2019)

Model-based Lookahead Reinforcement Learning. - Zhang-Wei Hong; Joni Pajarinen; Jan Peters 001 (CoRR, 2019)

Compatible natural gradient policy search. - Joni Pajarinen; Hong Linh Thai; Riad Akrour; Jan Peters 001; Gerhard Neumann (Mach. Learn., 2019)

Learning Intention Aware Online Adaptation of Movement Primitives. - Dorothea Koert; Joni Pajarinen; Albert Schotschneider; Susanne Trick; Constantin A. Rothkopf; Jan Peters 001 (IEEE Robotics Autom. Lett., 2019)

Generalized Mean Estimation in Monte-Carlo Tree Search. - Tuan Dam; Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (IJCAI, 2020)

Deep Adversarial Reinforcement Learning for Object Disentangling. - Melvin Laux; Oleg Arenz; Jan Peters 001; Joni Pajarinen (IROS, 2020)

Self-Paced Deep Reinforcement Learning. - Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (NeurIPS, 2020)

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement. - Mikko Lauri; Joni Pajarinen; Jan Peters 001 (Auton. Agents Multi Agent Syst., 2020)

Technical Report: The Policy Graph Improvement Algorithm. - Joni Pajarinen (CoRR, 2020)

POMDP Manipulation Planning under Object Composition Uncertainty. - Joni Pajarinen; Jens Lundell; Ville Kyrki (CoRR, 2020)

Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. - Mikko Lauri; Joni Pajarinen; Jan Peters 001; Simone Frintrop (IEEE Robotics Autom. Lett., 2020)

Probabilistic Approach to Physical Object Disentangling. - Joni Pajarinen; Oleg Arenz; Jan Peters 001; Gerhard Neumann (IEEE Robotics Autom. Lett., 2020)

Latent Derivative Bayesian Last Layer Networks. - Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters 001 (AISTATS, 2021)

Convex Regularization in Monte-Carlo Tree Search. - Tuan Dam; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (ICML, 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 (ICRA, 2021)

Machine Learning Based Mobile Network Throughput Classification. - Lauri Alho; Adrian Burian; Janne Helenius; Joni Pajarinen (WCNC, 2021)

Reinforcement Learning using Guided Observability. - Stephan Weigand; Pascal Klink; Jan Peters 001; Joni Pajarinen (CoRR, 2021)

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. - Pascal Klink; Hany Abdulsamad; Boris Belousov; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (J. Mach. Learn. Res., 2021)

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. - Yi Zhao 014; Rinu Boney; Alexander Ilin; Juho Kannala; Joni Pajarinen (ESANN, 2022)

Topological Experience Replay. - Zhang-Wei Hong; Tao Chen 046; Yen-Chen Lin; Joni Pajarinen; Pulkit Agrawal 001 (ICLR, 2022)

Boosted Curriculum Reinforcement Learning. - Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (ICLR, 2022)

Curriculum Reinforcement Learning via Constrained Optimal Transport. - Pascal Klink; Haoyi Yang; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (ICML, 2022)

GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control. - Abdolreza Taheri; Joni Pajarinen; Reza Ghabcheloo (ICRA, 2022)

Redeeming intrinsic rewards via constrained optimization. - Eric Chen; Zhang-Wei Hong; Joni Pajarinen; Pulkit Agrawal 001 (NeurIPS, 2022)

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. - Simone Parisi; Davide Tateo; Maximilian Hensel; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (Algorithms, 2022)

Hierarchical Reinforcement Learning with Adversarially Guided Subgoals. - Vivienne Huiling Wang; Joni Pajarinen; Tinghuai Wang; Joni-Kristian Kämäräinen (CoRR, 2022)

Self-Paced Multi-Agent Reinforcement Learning. - Wenshuai Zhao; Joni Pajarinen (CoRR, 2022)

Continuous Monte Carlo Graph Search. - Amin Babadi; Yi Zhao 014; Juho Kannala; Alexander Ilin; Joni Pajarinen (CoRR, 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)

Monte-Carlo Robot Path Planning. - Tuan Dam; Georgia Chalvatzaki; Jan Peters 001; Joni Pajarinen (IEEE Robotics Autom. Lett., 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)

State-Conditioned Adversarial Subgoal Generation. - Vivienne Huiling Wang; Joni Pajarinen; Tinghuai Wang; Joni-Kristian Kämäräinen (AAAI, 2023)

Hierarchical Imitation Learning with Vector Quantized Models. - Kalle Kujanpää; Joni Pajarinen; Alexander Ilin (ICML, 2023)

Simplified Temporal Consistency Reinforcement Learning. - Yi Zhao 014; Wenshuai Zhao; Rinu Boney; Juho Kannala; Joni Pajarinen (ICML, 2023)

Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation. - Wenyan Yang; Alexandre Angleraud; Roel S. Pieters; Joni Pajarinen; Joni-Kristian Kämäräinen (ICRA, 2023)

Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. - Yuhang Yang; Kalle Kujanpää; Amin Babadi; Joni Pajarinen; Alexander Ilin (ITSC, 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 004; Pulkit Agrawal 001 (NeurIPS, 2023)

Hybrid Search for Efficient Planning with Completeness Guarantees. - Kalle Kujanpää; Joni Pajarinen; Alexander Ilin (NeurIPS, 2023)

Prioritized offline Goal-swapping Experience Replay. - Wenyan Yang; Joni Pajarinen; Dinging Cai; Joni-Kristian Kämäräinen (CoRR, 2023)

Swapped goal-conditioned offline reinforcement learning. - Wenyan Yang; Huiling Wang; Dingding Cai; Joni Pajarinen; Joni-Kristian Kämäräinen (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)

Sparse Function-space Representation of Neural Networks. - Aidan Scannell; Riccardo Mereu; Paul E. Chang; Ella Tamir; Joni Pajarinen; Arno Solin (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)

Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning. - Pascal Klink; Florian Wolf; Kai Ploeger; Jan Peters 001; 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)

Optimistic Multi-Agent Policy Gradient for Cooperative Tasks. - Wenshuai Zhao; Yi Zhao 014; Zhiyuan Li; Juho Kannala; Joni Pajarinen (CoRR, 2023)

Partially Observable Markov Decision Processes in Robotics: A Survey. - Mikko Lauri; David Hsu; Joni Pajarinen (IEEE Trans. Robotics, 2023)

POMDP Planning Under Object Composition Uncertainty: Application to Robotic Manipulation. - Joni Pajarinen; Jens Lundell; Ville Kyrki (IEEE Trans. Robotics, 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 014; Zhibin Li 001; Cong Wang 027 (IEEE Robotics Autom. Lett., 2023)

Backpropagation Through Agents. - Zhiyuan Li; Wenshuai Zhao; Lijun Wu; Joni Pajarinen (AAAI, 2024)

Continuous Monte Carlo Graph Search. - Kalle Kujanpää; Amin Babadi; Yi Zhao 014; Juho Kannala; Alexander Ilin; Joni Pajarinen (AAMAS, 2024)

RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands. - Yi Zhao 014; Le Chen; Jan Schneider 007; Quankai Gao; Juho Kannala; Bernhard Schölkopf; Joni Pajarinen; Dieter Büchler (CoRL, 2024)

Bi-Level Motion Imitation for Humanoid Robots. - Wenshuai Zhao; Yi Zhao 014; Joni Pajarinen; Michael Muehlebach (CoRL, 2024)

Function-space Parameterization of Neural Networks for Sequential Learning. - Aidan Scannell; Riccardo Mereu; Paul Edmund Chang; Ella Tamir; Joni Pajarinen; Arno Solin (ICLR, 2024)

Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning. - Vivienne Huiling Wang; Tinghuai Wang; Wenyan Yang; Joni-Kristian Kämäräinen; Joni Pajarinen (ICML, 2024)

Optimistic Multi-Agent Policy Gradient. - Wenshuai Zhao; Yi Zhao 014; Zhiyuan Li; Juho Kannala; Joni Pajarinen (ICML, 2024)

Residual learning and context encoding for adaptive offline-to-online reinforcement learning. - Mohammadreza Nakhaei; Aidan Scannell; Joni Pajarinen (L4DC, 2024)

Cycle Count Estimation of VLIW Processors Using Machine Learning. - Kari Hepola; Jatan Shrestha; Joonas Multanen; Vivienne Wang; Joni Pajarinen; Pekka Jääskeläinen (NorCAS, 2024)

ROER: Regularized Optimal Experience Replay. - Changling Li; Zhang-Wei Hong; Pulkit Agrawal 001; Divyansh Garg; Joni Pajarinen (RLJ, 2024)

iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. - Aidan Scannell; Kalle Kujanpää; Yi Zhao 014; Mohammadreza Nakhaei; Arno Solin; Joni Pajarinen (CoRR, 2024)

DeMoBot: Deformable Mobile Manipulation with Vision-based Sub-goal Retrieval. - Yuying Zhang; Wenyan Yang; Joni Pajarinen (CoRR, 2024)

Grouped Discrete Representation for Object-Centric Learning. - Rongzhen Zhao; Vivienne Wang; Juho Kannala; Joni Pajarinen (CoRR, 2024)

A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. - Tuan Dam; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (J. Artif. Intell. Res., 2024)

Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning. - Yang Weng; Sehwa Chun; Masaki Ohashi; Takumi Matsuda; Yuki Sekimori; Joni Pajarinen; Jan Peters 001; Toshihiro Maki (J. Field Robotics, 2024)

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. - Pascal Klink; Carlo D'Eramo; Jan Peters 001; Joni Pajarinen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

AgentMixer: Multi-Agent Correlated Policy Factorization. - Zhiyuan Li; Wenshuai Zhao; Lijun Wu; Joni Pajarinen (AAAI, 2025)

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning. - Mohammadreza Nakhaeinezhadfard; Aidan Scannell; Joni Pajarinen (AAAI, 2025)

Discrete Codebook World Models for Continuous Control. - Aidan Scannell; Mohammadreza Nakhaeinezhadfard; Kalle Kujanpää; Yi Zhao 014; Kevin Sebastian Luck; Arno Solin; Joni Pajarinen (ICLR, 2025)

Multi-Scale Fusion for Object Representation. - Rongzhen Zhao; Vivienne Huiling Wang; Juho Kannala; Joni Pajarinen (ICLR, 2025)

End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement learning. - Abdolreza Taheri; Amy Rankka; Pelle Gustafsson; Joni Pajarinen; Reza Ghabcheloo (IEEE Trans. Robotics, 2025)

Imitation-Enhanced Reinforcement Learning With Privileged Smooth Transition for Hexapod Locomotion. - Zhelin Zhang; Tie Liu; Liang Ding 001; Haoyu Wang; Peng Xu; Huaiguang Yang; Haibo Gao; Zongquan Deng; Joni Pajarinen (IEEE Robotics Autom. Lett., 2025)

Cooperative Multi-Agent Planning with Adaptive Skill Synthesis. - Zhiyuan Li; Wenshuai Zhao; Joni Pajarinen (CoRR, 2025)

Generalist World Model Pre-Training for Efficient Reinforcement Learning. - Yi Zhao 014; Aidan Scannell; Yuxin Hou; Tianyu Cui; Le Chen; Dieter Büchler; Arno Solin; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Vector-Quantized Vision Foundation Models for Object-Centric Learning. - Rongzhen Zhao; Vivienne Wang; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving. - Kalle Kujanpää; Daulet Baimukashev; Farzeen Munir; Shoaib Azam; Tomasz Piotr Kucner; Joni Pajarinen; Ville Kyrki (CoRR, 2025)

RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models. - Mehdi Moshtaghi; Siavash H. Khajavi; Joni Pajarinen (CoRR, 2025)

Symbolically-Guided Visual Plan Inference from Uncurated Video Data. - Wenyan Yang; Ahmet Tikna; Yi Zhao 014; Yuying Zhang; Luigi Palopoli 002; Marco Roveri; Joni Pajarinen (CoRR, 2025)

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning. - Hongjia Liu; Rongzhen Zhao; Haohan Chen; Joni Pajarinen (CoRR, 2025)

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals. - Vivienne Huiling Wang; Tinghuai Wang; Joni Pajarinen (CoRR, 2025)

Entropy based blending of policies for multi-agent coexistence. - David Rother; Franziska Herbert; Fabian Kalter; Dorothea Koert; Joni Pajarinen; Jan Peters 001; Thomas H. Weisswange (Auton. Agents Multi Agent Syst., 2025)

Reachability Weighted Offline Goal-conditioned Resampling. - Wenyan Yang; Joni Pajarinen (CoRR, 2025)

MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects. - Yuying Zhang; Kevin Sebastian Luck; Francesco Verdoja; Ville Kyrki; Joni Pajarinen (CoRR, 2025)

Slot Attention with Re-Initialization and Self-Distillation. - Rongzhen Zhao; Yi Zhao 014; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Predicting Video Slot Attention Queries from Random Slot-Feature Pairs. - Rongzhen Zhao; Jian Li; Juho Kannala; Joni Pajarinen (CoRR, 2025)

Smoothing Slot Attention Iterations and Recurrences. - Rongzhen Zhao; Wenyan Yang; Juho Kannala; Joni Pajarinen (CoRR, 2025)

GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning. - Xing Lei; Wenyan Yang; Kaiqiang Ke; Shentao Yang; Xuetao Zhang; Joni Pajarinen; Donglin Wang (CoRR, 2025)

Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors. - Yuying Zhang; Joni Pajarinen (CoRR, 2025)