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MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning

Advances in Neural Information Processing Systems 2025

Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni Pajarinen

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning

Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors

IEEE/RSJ International Conference on Intelligent Robots and Systems 2025

Yuying Zhang, Joni Pajarinen

Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals

International Conference on Machine Learning 2025

Vivienne Huiling Wang, Tinghuai Wang, Joni Pajarinen

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals

Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance

Conference on Robot Learning 2025

Wenyan Yang, Ahmet Tikna, Yi Zhao, Yuying Zhang, Luigi Palopoli, Marco Roveri, Joni Pajarinen

Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance

Vector-Quantized Vision Foundation Models for Object-Centric Learning

ACM International Conference on Multimedia 2025

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

Vector-Quantized Vision Foundation Models for Object-Centric Learning

Discrete Codebook World Models for Continuous Control

International Conference on Learning Representations 2025

Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen

Discrete Codebook World Models for Continuous Control

Multi-Scale Fusion for Object Representation

International Conference on Learning Representations 2025

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

Multi-Scale Fusion for Object Representation

AgentMixer: Multi-Agent Correlated Policy Factorization

Proceedings of the AAAI Conference on Artificial Intelligence 2025

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

AgentMixer: Multi-Agent Correlated Policy Factorization

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

Proceedings of the AAAI Conference on Artificial Intelligence 2025

Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

On the benefit of optimal transport for curriculum reinforcement learning

IEEE Transactions on Pattern Analysis and Machine Intelligence 2024

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

On the benefit of optimal transport for curriculum reinforcement learning