Optimizing robot striking movement primitives with Iterative Learning Control. - Okan Koc; Guilherme Maeda; Gerhard Neumann; Jan Peters 001 (Humanoids, 2015)

Jointly learning trajectory generation and hitting point prediction in robot table tennis. - Yanlong Huang; Dieter Buchler; Okan Koc; Bernhard Schölkopf; Jan Peters 001 (Humanoids, 2016)

A new trajectory generation framework in robotic table tennis. - Okan Koc; Guilherme Maeda; Jan Peters 001 (IROS, 2016)

Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets. - Guilherme Maeda; Okan Koc; Jun Morimoto (CoRL, 2018)

Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. - Okan Koc; Guilherme Maeda; Jan Peters 001 (CoRR, 2018)

Online optimal trajectory generation for robot table tennis. - Okan Koc; Guilherme Maeda; Jan Peters 001 (Robotics Auton. Syst., 2018)

Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework. - Okan Koc; Jan Peters 001 (IEEE Robotics Autom. Lett., 2019)

Optimizing the Execution of Dynamic Robot Movements With Learning Control. - Okan Koc; Guilherme Maeda; Jan Peters 001 (IEEE Trans. Robotics, 2019)

Phase portraits as movement primitives for fast humanoid robot control. - Guilherme Maeda; Okan Koc; Jun Morimoto (Neural Networks, 2020)

Robust Similarity Learning with Difference Alignment Regularization. - Shuo Chen 003; Gang Niu 001; Chen Gong 002; Okan Koc; Jian Yang 003; Masashi Sugiyama (ICLR, 2024)

Domain Adaptation and Entanglement: an Optimal Transport Perspective. - Okan Koc; Alexander Soen; Chao-Kai Chiang; Masashi Sugiyama (AISTATS, 2025)