Source Themes

Hierarchical Imitation Learning with Vector Quantized Models

Kalle Kujanpää, Joni Pajarinen, Alexander Ilin

Simplified Temporal Consistency Reinforcement Learning

Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen

Nonlinear Model Learning for Compensation and Feedforward Control of Real-World Hydraulic Actuators Using Gaussian Processes

Abdolreza Taheri, Pelle Gustafsson, Marcus Rösth, Reza Ghabcheloo, Joni Pajarinen

POMDP planning under object composition uncertainty: Application to robotic manipulation

Joni Pajarinen, Jens Lundell, Ville Kyrki

Curriculum reinforcement learning via constrained optimal transport

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

Partially Observable Markov Decision Processes in Robotics: A Survey

Mikko Lauri, David Hsu, Joni Pajarinen

Boosted Curriculum Reinforcement Learning

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

GPU-accelerated policy optimization via batch automatic differentiation of gaussian processes for real-world control

Abdolreza Taheri, Joni Pajarinen, Reza Ghabcheloo

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning

Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen