Joni Pajarinen

167 papers A* 35A 9B 4Misc 2Journal 107Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contextual Latent World Models for Offline Meta Reinforcement Learning. CoRR Mohammadreza Nakheai, Aidan Scannell, Kevin S. Luck, Joni Pajarinen
2026	A*	`conf`	End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint). AAAI Abdolreza Taheri, Amy Rankka, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo
2026	J	`jnl`	PAWS: Perception of Articulation in the Wild at Scale from Egocentric Videos. CoRR Yihao Wang, Yang Miao, Wenshuai Zhao, Wenyan Yang, Zihan Wang, Joni Pajarinen, Luc Van Gool, Danda Pani Paudel, Juho Kannala, Xi Wang, Arno Solin
2026	J	`jnl`	Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization. CoRR Jatan Shrestha, Santeri Heiskanen, Kari Hepola, Severi Rissanen, Pekka Jääskeläinen, Joni Pajarinen
2026	A*	`conf`	Predicting Video Slot Attention Queries from Random Slot-Feature Pairs. AAAI Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen
2026	J	`jnl`	Sparsely Supervised Diffusion. CoRR Wenshuai Zhao, Zhiyuan Li, Yi Zhao, Mohammad Hassan Vali, Martin Trapp, Joni Pajarinen, Juho Kannala, Arno Solin
2026	J	`jnl`	Virtual Tethered Autonomous Underwater Vehicle for Real-Time Underwater Internet of Things. IEEE Internet Things J. Yang Weng, Sehwa Chun, Yuki Sekimori, Hiroki Yokohata, Takumi Matsuda, Joni Pajarinen, Toshihiro Maki
2025	A*	`conf`	AgentMixer: Multi-Agent Correlated Policy Factorization. AAAI Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
2025	J	`jnl`	Controllable Generative Trajectory Prediction via Weak Preference Alignment. CoRR Yongxi Cao, Julian F. Schumann, Jens Kober, Joni Pajarinen, Arkady Zgonnikov
2025	J	`jnl`	Cooperative Multi-Agent Planning with Adaptive Skill Synthesis. CoRR Zhiyuan Li, Wenshuai Zhao, Joni Pajarinen
2025	J	`jnl`	Dexterous Robotic Piano Playing at Scale. CoRR Le Chen, Yi Zhao, Jan Schneider, Quankai Gao, Simon Guist, Cheng Qian, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2025	A*	`conf`	Discrete Codebook World Models for Continuous Control. ICLR Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	J	`jnl`	Discrete Codebook World Models for Continuous Control. CoRR Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025	A*	`conf`	Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving. ICRA Kalle Kujanpää, Daulet Baimukashev, Farzeen Munir, Shoaib Azam, Tomasz Piotr Kucner, Joni Pajarinen, Ville Kyrki
2025	J	`jnl`	Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving. CoRR Kalle Kujanpää, Daulet Baimukashev, Farzeen Munir, Shoaib Azam, Tomasz Piotr Kucner, Joni Pajarinen, Ville Kyrki
2025	J	`jnl`	End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement learning. IEEE Trans. Robotics Abdolreza Taheri, Amy Rankka, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo
2025	A*	`conf`	Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning. AAAI Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen
2025	J	`jnl`	Entropy based blending of policies for multi-agent coexistence. Auton. Agents Multi Agent Syst. David Rother, Franziska Herbert, Fabian Kalter, Dorothea Koert, Joni Pajarinen, Jan Peters, Thomas H. Weisswange
2025	J	`jnl`	GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning. CoRR Xing Lei, Wenyan Yang, Kaiqiang Ke, Shentao Yang, Xuetao Zhang, Joni Pajarinen, Donglin Wang
2025	J	`jnl`	Generalist World Model Pre-Training for Efficient Reinforcement Learning. CoRR Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen
2025	—	`conf`	Grouped Discrete Representation for Object-Centric Learning. ECML/PKDD (6) Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2025	A*	`conf`	Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals. ICML Vivienne Huiling Wang, Tinghuai Wang, Joni Pajarinen
2025	J	`jnl`	Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals. CoRR Vivienne Huiling Wang, Tinghuai Wang, Joni Pajarinen
2025	J	`jnl`	Imitation-Enhanced Reinforcement Learning With Privileged Smooth Transition for Hexapod Locomotion. IEEE Robotics Autom. Lett. Zhelin Zhang, Tie Liu, Liang Ding, Haoyu Wang, Peng Xu, Huaiguang Yang, Haibo Gao, Zongquan Deng, Joni Pajarinen
2025	A*	`conf`	Learning Progress Driven Multi-Agent Curriculum. ICML Wenshuai Zhao, Zhiyuan Li, Joni Pajarinen
2025	A	`conf`	Manipulate-To-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors. IROS Yuying Zhang, Joni Pajarinen
2025	J	`jnl`	Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors. CoRR Yuying Zhang, Joni Pajarinen
2025	J	`jnl`	MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning. CoRR Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni Pajarinen
2025	J	`jnl`	MoDeSuite: Robot Learning Task Suite for Benchmarking Mobile Manipulation with Deformable Objects. CoRR Yuying Zhang, Kevin Sebastian Luck, Francesco Verdoja, Ville Kyrki, Joni Pajarinen
2025	A*	`conf`	Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport. ICML Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard
2025	A*	`conf`	Multi-Scale Fusion for Object Representation. ICLR Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Object-Centric Vision Token Pruning for Vision Language Models. CoRR Guangyuan Li, Rongzhen Zhao, Jinhong Deng, Yanbo Wang, Joni Pajarinen
2025	J	`jnl`	Open-ended coordination for multi-agent systems using modular open policies. Auton. Agents Multi Agent Syst. David Rother, Joni Pajarinen, Jan Peters, Thomas H. Weisswange
2025	J	`jnl`	Predicting Video Slot Attention Queries from Random Slot-Feature Pairs. CoRR Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	ProTerrain: Probabilistic Physics-Informed Rough Terrain World Modeling. CoRR Golnaz Raja, Ruslan Agishev, Milos Prágr, Joni Pajarinen, Karel Zimmermann, Arun Kumar Singh, Reza Ghabcheloo
2025	J	`jnl`	RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models. CoRR Mehdi Moshtaghi, Siavash H. Khajavi, Joni Pajarinen
2025	J	`jnl`	Reachability Weighted Offline Goal-conditioned Resampling. CoRR Wenyan Yang, Joni Pajarinen
2025	A*	`conf`	Slot Attention with Re-Initialization and Self-Distillation. ACM Multimedia Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Slot Attention with Re-Initialization and Self-Distillation. CoRR Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Smoothing Slot Attention Iterations and Recurrences. CoRR Rongzhen Zhao, Wenyan Yang, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Symbolically-Guided Visual Plan Inference from Uncurated Video Data. CoRR Wenyan Yang, Ahmet Tikna, Yi Zhao, Yuying Zhang, Luigi Palopoli, Marco Roveri, Joni Pajarinen
2025	A*	`conf`	Vector-Quantized Vision Foundation Models for Object-Centric Learning. ACM Multimedia Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala, Joni Pajarinen
2025	J	`jnl`	Vector-Quantized Vision Foundation Models for Object-Centric Learning. CoRR Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024	J	`jnl`	A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. J. Artif. Intell. Res. Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2024	J	`jnl`	AgentMixer: Multi-Agent Correlated Policy Factorization. CoRR Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
2024	J	`jnl`	Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning. J. Field Robotics Yang Weng, Sehwa Chun, Masaki Ohashi, Takumi Matsuda, Yuki Sekimori, Joni Pajarinen, Jan Peters, Toshihiro Maki
2024	A*	`conf`	Backpropagation Through Agents. AAAI Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
2024	J	`jnl`	Backpropagation Through Agents. CoRR Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
2024	Misc	`conf`	Bi-Level Motion Imitation for Humanoid Robots. CoRL Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach
2024	J	`jnl`	Bi-Level Motion Imitation for Humanoid Robots. CoRR Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach
2024	A	`conf`	Continuous Monte Carlo Graph Search. AAMAS Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
2024	—	`conf`	Cycle Count Estimation of VLIW Processors Using Machine Learning. NorCAS Kari Hepola, Jatan Shrestha, Joonas Multanen, Vivienne Wang, Joni Pajarinen, Pekka Jääskeläinen
2024	J	`jnl`	DeMoBot: Deformable Mobile Manipulation with Vision-based Sub-goal Retrieval. CoRR Yuying Zhang, Wenyan Yang, Joni Pajarinen
2024	J	`jnl`	Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning. CoRR Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
2024	A*	`conf`	Function-space Parameterization of Neural Networks for Sequential Learning. ICLR Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024	J	`jnl`	Function-space Parameterization of Neural Networks for Sequential Learning. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2024	J	`jnl`	Grouped Discrete Representation for Object-Centric Learning. CoRR Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024	J	`jnl`	Multi-Scale Fusion for Object Representation. CoRR Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen
2024	J	`jnl`	On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2024	A*	`conf`	Optimistic Multi-Agent Policy Gradient. ICML Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
2024	A*	`conf`	Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning. ICML Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-Kristian Kämäräinen, Joni Pajarinen
2024	J	`jnl`	Probabilistic Subgoal Representations for Hierarchical Reinforcement learning. CoRR Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-Kristian Kämäräinen, Joni Pajarinen
2024	J	`jnl`	ROER: Regularized Optimal Experience Replay. RLJ Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen
2024	J	`jnl`	ROER: Regularized Optimal Experience Replay. CoRR Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen
2024	Misc	`conf`	RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands. CoRL Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2024	J	`jnl`	RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands. CoRR Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2024	J	`jnl`	Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning. CoRR Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
2024	—	`conf`	Residual learning and context encoding for adaptive offline-to-online reinforcement learning. L4DC Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
2024	J	`jnl`	iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. CoRR Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen
2023	A*	`conf`	Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. NeurIPS Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
2023	J	`jnl`	Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. CoRR Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal
2023	A*	`conf`	Hierarchical Imitation Learning with Vector Quantized Models. ICML Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
2023	J	`jnl`	Hierarchical Imitation Learning with Vector Quantized Models. CoRR Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
2023	A*	`conf`	Hybrid Search for Efficient Planning with Completeness Guarantees. NeurIPS Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
2023	J	`jnl`	Hybrid Search for Efficient Planning with Completeness Guarantees. CoRR Kalle Kujanpää, Joni Pajarinen, Alexander Ilin
2023	J	`jnl`	Learning-Based Propulsion Control for Amphibious Quadruped Robots With Dynamic Adaptation to Changing Environment. IEEE Robotics Autom. Lett. Qingfeng Yao, Linghan Meng, Qifeng Zhang, Jing Zhao, Joni Pajarinen, Xiaohui Wang, Zhibin Li, Cong Wang
2023	J	`jnl`	Less Is More: Robust Robot Learning via Partially Observable Multi-Agent Reinforcement Learning. CoRR Wenshuai Zhao, Eetu-Aleksi Rantala, Joni Pajarinen, Jorge Peña Queralta
2023	J	`jnl`	Monte-Carlo tree search with uncertainty propagation via optimal transport. CoRR Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard
2023	J	`jnl`	On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. CoRR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2023	J	`jnl`	Optimistic Multi-Agent Policy Gradient for Cooperative Tasks. CoRR Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
2023	J	`jnl`	POMDP Planning Under Object Composition Uncertainty: Application to Robotic Manipulation. IEEE Trans. Robotics Joni Pajarinen, Jens Lundell, Ville Kyrki
2023	J	`jnl`	Partially Observable Markov Decision Processes in Robotics: A Survey. IEEE Trans. Robotics Mikko Lauri, David Hsu, Joni Pajarinen
2023	J	`jnl`	Prioritized offline Goal-swapping Experience Replay. CoRR Wenyan Yang, Joni Pajarinen, Dinging Cai, Joni-Kristian Kämäräinen
2023	A*	`conf`	Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation. ICRA Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kämäräinen
2023	J	`jnl`	Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation. CoRR Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kämäräinen
2023	A*	`conf`	Simplified Temporal Consistency Reinforcement Learning. ICML Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
2023	J	`jnl`	Simplified Temporal Consistency Reinforcement Learning. CoRR Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
2023	J	`jnl`	Sparse Function-space Representation of Neural Networks. CoRR Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
2023	A*	`conf`	State-Conditioned Adversarial Subgoal Generation. AAAI Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen
2023	—	`conf`	Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. ITSC Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin
2023	J	`jnl`	Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles. CoRR Yuhang Yang, Kalle Kujanpää, Amin Babadi, Joni Pajarinen, Alexander Ilin
2023	J	`jnl`	Swapped goal-conditioned offline reinforcement learning. CoRR Wenyan Yang, Huiling Wang, Dingding Cai, Joni Pajarinen, Joni-Kristian Kämäräinen
2023	J	`jnl`	Towards Energy Efficient Control for Commercial Heavy-Duty Mobile Cranes: Modeling Hydraulic Pressures using Machine Learning. CoRR Abdolreza Taheri, Robert Pettersson, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo
2023	J	`jnl`	Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning. CoRR Pascal Klink, Florian Wolf, Kai Ploeger, Jan Peters, Joni Pajarinen
2022	J	`jnl`	A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. CoRR Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	B	`conf`	Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
2022	J	`jnl`	Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
2022	A*	`conf`	Boosted Curriculum Reinforcement Learning. ICLR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Continuous Monte Carlo Graph Search. CoRR Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
2022	A*	`conf`	Curriculum Reinforcement Learning via Constrained Optimal Transport. ICML Pascal Klink, Haoyi Yang, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	A*	`conf`	GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control. ICRA Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo
2022	J	`jnl`	GPU-Accelerated Policy Optimization via Batch Automatic Differentiation of Gaussian Processes for Real-World Control. CoRR Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo
2022	J	`jnl`	Hierarchical Reinforcement Learning with Adversarially Guided Subgoals. CoRR Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen
2022	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. Algorithms Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Monte-Carlo Robot Path Planning. CoRR Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Monte-Carlo Robot Path Planning. IEEE Robotics Autom. Lett. Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes. IEEE Robotics Autom. Lett. Abdolreza Taheri, Pelle Gustafsson, Marcus Rösth, Reza Ghabcheloo, Joni Pajarinen
2022	J	`jnl`	Partially Observable Markov Decision Processes in Robotics: A Survey. CoRR Mikko Lauri, David Hsu, Joni Pajarinen
2022	J	`jnl`	Redeeming Intrinsic Rewards via Constrained Optimization. CoRR Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
2022	A*	`conf`	Redeeming intrinsic rewards via constrained optimization. NeurIPS Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal
2022	J	`jnl`	Self-Paced Multi-Agent Reinforcement Learning. CoRR Wenshuai Zhao, Joni Pajarinen
2022	A*	`conf`	Topological Experience Replay. ICLR Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
2022	J	`jnl`	Topological Experience Replay. CoRR Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal
2022	J	`jnl`	Visual Rewards From Observation for Sequential Tasks: Autonomous Pile Loading. Frontiers Robotics AI Nataliya Strokina, Wenyan Yang, Joni Pajarinen, Nikolay Serbenyuk, Joni-Kristian Kämäräinen, Reza Ghabcheloo
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. CoRR Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. J. Mach. Learn. Res. Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	A*	`conf`	Convex Regularization in Monte-Carlo Tree Search. ICML Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	A	`conf`	Latent Derivative Bayesian Last Layer Networks. AISTATS Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters
2021	B	`conf`	Machine Learning Based Mobile Network Throughput Classification. WCNC Lauri Alho, Adrian Burian, Janne Helenius, Joni Pajarinen
2021	A*	`conf`	Neural Network Controller for Autonomous Pile Loading Revised. ICRA Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
2021	J	`jnl`	Neural Network Controller for Autonomous Pile Loading Revised. CoRR Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk, Joni Pajarinen, Reza Ghabcheloo, Juho Vihonen, Mohammad M. Aref, Joni-Kristian Kämäräinen
2021	J	`jnl`	Reinforcement Learning using Guided Observability. CoRR Stephan Weigand, Pascal Klink, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Convex Regularization in Monte-Carlo Tree Search. CoRR Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	A	`conf`	Deep Adversarial Reinforcement Learning for Object Disentangling. IROS Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Deep Adversarial Reinforcement Learning for Object Disentangling. CoRR Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
2020	A*	`conf`	Generalized Mean Estimation in Monte-Carlo Tree Search. IJCAI Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. CoRR Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Machine Learning Based Mobile Network Throughput Classification. CoRR Lauri Alho, Adrian Burian, Janne Helenius, Joni Pajarinen
2020	J	`jnl`	Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. CoRR Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop
2020	J	`jnl`	Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. IEEE Robotics Autom. Lett. Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop
2020	J	`jnl`	Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement. Auton. Agents Multi Agent Syst. Mikko Lauri, Joni Pajarinen, Jan Peters
2020	J	`jnl`	POMDP Manipulation Planning under Object Composition Uncertainty. CoRR Joni Pajarinen, Jens Lundell, Ville Kyrki
2020	J	`jnl`	Probabilistic Approach to Physical Object Disentangling. IEEE Robotics Autom. Lett. Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
2020	J	`jnl`	Probabilistic approach to physical object disentangling. CoRR Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
2020	A*	`conf`	Self-Paced Deep Reinforcement Learning. NeurIPS Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Self-Paced Deep Reinforcement Learning. CoRR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Technical Report: The Policy Graph Improvement Algorithm. CoRR Joni Pajarinen
2019	J	`jnl`	Compatible Natural Gradient Policy Search. CoRR Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
2019	J	`jnl`	Compatible natural gradient policy search. Mach. Learn. Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
2019	B	`conf`	Exploration Driven by an Optimistic Bellman Equation. IJCNN Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters
2019	J	`jnl`	Generalized Mean Estimation in Monte-Carlo Tree Search. CoRR Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2019	A	`conf`	Information Gathering in Decentralized POMDPs by Policy Graph Improvement. AAMAS Mikko Lauri, Joni Pajarinen, Jan Peters
2019	J	`jnl`	Information Gathering in Decentralized POMDPs by Policy Graph Improvement. CoRR Mikko Lauri, Joni Pajarinen, Jan Peters
2019	J	`jnl`	Learning Intention Aware Online Adaptation of Movement Primitives. IEEE Robotics Autom. Lett. Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters
2019	J	`jnl`	Model-based Lookahead Reinforcement Learning. CoRR Zhang-Wei Hong, Joni Pajarinen, Jan Peters
2019	A*	`conf`	Projections for Approximate Policy Iteration Algorithms. ICML Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann
2018	J	`jnl`	An Algorithmic Perspective on Imitation Learning. CoRR Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters
2018	J	`jnl`	An Algorithmic Perspective on Imitation Learning. Found. Trends Robotics Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters
2018	—	`conf`	Utilizing Human Feedback in POMDP Execution and Specification. Humanoids Janine Hoelscher, Dorothea Koert, Jan Peters, Joni Pajarinen
2017	A	`conf`	Hybrid control trajectory optimization under uncertainty. IROS Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann
2017	J	`jnl`	Hybrid control trajectory optimization under uncertainty. CoRR Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann
2017	J	`jnl`	Robotic manipulation of multiple objects as a POMDP. Artif. Intell. Joni Pajarinen, Ville Kyrki
2016	—	`conf`	Benchmarking RGB-D Segmentation: Toy Dataset of Complex Crowded Scenes. VISIGRAPP (4: VISAPP) Aleksi Ikkala, Joni Pajarinen, Ville Kyrki
2016	A	`conf`	Learning in-contact control strategies from demonstration. IROS Mattia Racca, Joni Pajarinen, Alberto Montebelli, Ville Kyrki
2016	A*	`conf`	Sparse Latent Space Policy Search. AAAI Kevin Sebastian Luck, Joni Pajarinen, Erik Berger, Ville Kyrki, Heni Ben Amor
2015	A*	`conf`	Decision making under uncertain segmentations. ICRA Joni Pajarinen, Ville Kyrki
2014	J	`jnl`	Optimizing Spatial and Temporal Reuse inWireless Networks by Decentralized Partially Observable Markov Decision Processes. IEEE Trans. Mob. Comput. Joni Pajarinen, Ari Hottinen, Jaakko Peltonen
2014	A	`conf`	Real-time recognition of pointing gestures for robot to robot interaction. IROS Polychronis Kondaxakis, Joni Pajarinen, Ville Kyrki
2014	A	`conf`	Robotic manipulation in object composition space. IROS Joni Pajarinen, Ville Kyrki
2014	J	`jnl`	Robotic manipulation of multiple objects as a POMDP. CoRR Joni Pajarinen, Ville Kyrki
2013	—	`conf`	Expectation Maximization for Average Reward Decentralized POMDPs. ECML/PKDD (1) Joni Pajarinen, Jaakko Peltonen
2013	—	`—`	Planning under uncertainty for large-scale problems with applications to wireless networking ; Päätöksenteko epävarmuuden vallitessa suurissa ongelmissa ja sovelluksia langattomaan tiedonsiirtoon. Joni Pajarinen
2011	A*	`conf`	Efficient Planning for Factored Infinite-Horizon DEC-POMDPs. IJCAI Joni Pajarinen, Jaakko Peltonen
2011	J	`jnl`	Fault tolerant machine learning for nanoscale cognitive radio. Neurocomputing Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo
2011	—	`conf`	Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. NIPS Joni Pajarinen, Jaakko Peltonen
2010	—	`conf`	Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. ECML/PKDD (3) Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mikko A. Uusitalo
2009	B	`conf`	Latent state models of primary user behavior for opportunistic spectrum access. PIMRC Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo, Ari Hottinen