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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

Curriculum reinforcement learning via constrained optimal transport

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

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

Convex Regularization in Monte-Carlo Tree Search

Tuan Q Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Self-Paced Deep Reinforcement Learning

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

Generalized Mean Estimation in Monte-Carlo Tree Search

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

Projections for Approximate Policy Iteration Algorithms

Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann

Hybrid Control Trajectory Optimization under Uncertainty

Joni Pajarinen, Ville Kyrki, Michael Koval, Siddhartha Srinivasa, Jan Peters, Gerhard Neumann