Source Themes

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

End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement learning

IEEE Transactions on Robotics 2024

Abdolreza Taheri, Amy Rankka, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo

End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using 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

Backpropagation Through Agents

AAAI Conference on Artificial Intelligence 2024

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen, Joni Pajarinen

Backpropagation Through Agents

Optimistic Multi-Agent Policy Gradient

International Conference on Machine Learning 2024

Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen

RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands

Conference on Robot Learning 2024

Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler

RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands

Continuous Monte Carlo Graph Search

International Conference on Autonomous Agents and Multi-Agent Systems 2024

Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen

Continuous Monte Carlo Graph Search

Function-space Parameterization of Neural Networks for Sequential Learning

International Conference on Learning Representations 2024

Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin

Function-space Parameterization of Neural Networks for Sequential Learning

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning

International Conference on Machine Learning 2024

Vivienne Huiling Wang, Tinghuai Wang, Wenyan Yang, Joni-Kristian Kämäräinen, Joni Pajarinen

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning