Source Themes

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

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

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

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement

Mikko Lauri, Joni Pajarinen, Jan Peters

Probabilistic approach to physical object disentangling

Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann