Aalto Robot Learning
Aalto Robot Learning
Home
Team
Equipment
Publications
Opportunities
1
Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
Vivienne Huiling Wang
,
Tinghuai Wang
,
Joni Pajarinen
PDF
Cite
Vector-Quantized Vision Foundation Models for Object-Centric Learning
Rongzhen Zhao
,
Vivienne Wang
,
Juho Kannala
,
Joni Pajarinen
PDF
Cite
Code
Discrete Codebook World Models for Continuous Control
Aidan Scannell
,
Mohammadreza Nakhaei
,
Kalle Kujanpää
,
Yi Zhao
,
Kevin Sebastian Luck
,
Arno Solin
,
Joni Pajarinen
PDF
Cite
Code
Video
Multi-Scale Fusion for Object Representation
Rongzhen Zhao
,
Vivienne Wang
,
Juho Kannala
,
Joni Pajarinen
PDF
Cite
Code
AgentMixer: Multi-Agent Correlated Policy Factorization
Zhiyuan Li
,
Wenshuai Zhao
,
Lijun Wu
,
Joni Pajarinen
PDF
Cite
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
Mohammadreza Nakhaei
,
Aidan Scannell
,
Joni Pajarinen
PDF
Cite
Code
On the benefit of optimal transport for curriculum reinforcement learning
Pascal Klink
,
Carlo D'Eramo
,
Jan Peters
,
Joni Pajarinen
PDF
Cite
Backpropagation Through Agents
Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen
,
Joni Pajarinen
PDF
Cite
Optimistic Multi-Agent Policy Gradient
Wenshuai Zhao
,
Yi Zhao
,
Zhiyuan Li
,
Juho Kannala
,
Joni Pajarinen
PDF
Cite
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands
Yi Zhao
,
Le Chen
,
Jan Schneider
,
Quankai Gao
,
Juho Kannala
,
Bernhard Schölkopf
,
Joni Pajarinen
,
Dieter Büchler
PDF
Cite
»
Cite
×