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Joni Pajarinen

20 papers at tracked venues · 16 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-4469-8191 ↗Homepage ↗

Venues

AAAI ×5ICML ×5ICLR ×3ACM MM ×2AAMAS ×1ECML-PKDD ×1ICRA ×1IROS ×1NeurIPS ×1

Frequent coauthors

Rongzhen Zhao
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Zhiyuan Li
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Aidan Scannell
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Kalle Kujanpää
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Vivienne Huiling Wang
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Wenshuai Zhao
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Abdolreza Taheri
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Mohammadreza Nakhaeinezhadfard
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Yuying Zhang
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Hongjia Liu
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Tuan Dam
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Papers

  1. End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint)
    AAAI 2026 ·
    Abdolreza Taheri
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  2. Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
    AAAI 2026 ·
    Rongzhen Zhao
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  3. AgentMixer: Multi-Agent Correlated Policy Factorization
    AAAI 2025 ·
    Zhiyuan Li
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  4. Discrete Codebook World Models for Continuous Control
    ICLR 2025 ·
    Aidan Scannell
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  5. Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
    ICRA 2025 ·
    Kalle Kujanpää
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  6. Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
    AAAI 2025 ·
    Mohammadreza Nakhaeinezhadfard
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  7. Grouped Discrete Representation for Object-Centric Learning
    ECML-PKDD 2025 ·
    Rongzhen Zhao
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  8. Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
    ICML 2025 ·
    Vivienne Huiling Wang
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  9. Learning Progress Driven Multi-Agent Curriculum
    ICML 2025 ·
    Wenshuai Zhao
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  10. Manipulate-To-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors
    IROS 2025 ·
    Yuying Zhang
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  11. MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
    NeurIPS 2025 ·
    Hongjia Liu
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  12. Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
    ICML 2025 ·
    Tuan Dam
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  13. Multi-Scale Fusion for Object Representation
    ICLR 2025 ·
    Rongzhen Zhao
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  14. Slot Attention with Re-Initialization and Self-Distillation
    ACM MM 2025 ·
    Rongzhen Zhao
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  15. Vector-Quantized Vision Foundation Models for Object-Centric Learning
    ACM MM 2025 ·
    Rongzhen Zhao
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  16. Backpropagation Through Agents
    AAAI 2024 ·
    Zhiyuan Li
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  17. Continuous Monte Carlo Graph Search
    AAMAS 2024 ·
    Kalle Kujanpää
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  18. Function-space Parameterization of Neural Networks for Sequential Learning
    ICLR 2024 ·
    Aidan Scannell
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  19. Optimistic Multi-Agent Policy Gradient
    ICML 2024 ·
    Wenshuai Zhao
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  20. Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning
    ICML 2024 ·
    Vivienne Huiling Wang
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