Source Themes

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning

Vivienne Huiling Wang, Tinghuai Wang, 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

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

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

On the benefit of optimal transport for curriculum reinforcement learning

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

Backpropagation Through Agents

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

Optimistic Multi-Agent Policy Gradient

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