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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

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

Continuous Monte Carlo Graph Search

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

Function-space Prameterization of Neural Networks for Sequential Learning

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

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning

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

ROER: Regularized Optimal Experience Replay

Changling Li, Zhang-Wei Hong, Pulkit Agrawal, Divyansh Garg, Joni Pajarinen

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning

Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen

Hybrid search for efficient planning with completeness guarantees

Kalle Kujanpää, Joni Pajarinen, Alexander Ilin