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

Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni Pajarinen

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

Yuying Zhang, Joni Pajarinen

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning

Vivienne Huiling Wang, Tinghuai Wang, Joni Pajarinen

Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance

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

Vector-Quantized Vision Foundation Models for Object-Centric Learning

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

Discrete Codebook World Models for Continuous Control

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

Multi-Scale Fusion for Object Representation

Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen

AgentMixer: Multi-Agent Correlated Policy Factorization

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen

On the benefit of optimal transport for curriculum reinforcement learning

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