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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

Partially Observable Markov Decision Processes in Robotics: A Survey

Mikko Lauri, David Hsu, Joni Pajarinen

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

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

Compatible natural gradient policy search

Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann

Learning Intention Aware Online Adaptation of Movement Primitives

Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin Rothkopf, Jan Peters

An Algorithmic Perspective on Imitation Learning

Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J Andrew Bagnell, Pieter Abbeel, Jan Peters