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Okan Koc
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2020 – today
- 2025
- [i4]Okan Koc, Alexander Soen, Chao-Kai Chiang, Masashi Sugiyama:
Domain Adaptation and Entanglement: an Optimal Transport Perspective. CoRR abs/2503.08155 (2025) - 2024
- [c5]Shuo Chen, Gang Niu, Chen Gong, Okan Koc, Jian Yang, Masashi Sugiyama:
Robust Similarity Learning with Difference Alignment Regularization. ICLR 2024 - 2020
- [j4]Guilherme Maeda
, Okan Koc, Jun Morimoto:
Phase portraits as movement primitives for fast humanoid robot control. Neural Networks 129: 109-122 (2020)
2010 – 2019
- 2019
- [j3]Okan Koc
, Jan Peters
:
Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework. IEEE Robotics Autom. Lett. 4(2): 1784-1791 (2019) - [j2]Okan Koc
, Guilherme Maeda, Jan Peters
:
Optimizing the Execution of Dynamic Robot Movements With Learning Control. IEEE Trans. Robotics 35(4): 909-924 (2019) - [i3]Guilherme Maeda, Okan Koc, Jun Morimoto:
Phase Portraits as Movement Primitives for Fast Humanoid Robot Control. CoRR abs/1912.03535 (2019) - 2018
- [j1]Okan Koc, Guilherme Maeda, Jan Peters:
Online optimal trajectory generation for robot table tennis. Robotics Auton. Syst. 105: 121-137 (2018) - [c4]Guilherme Maeda, Okan Koc, Jun Morimoto:
Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets. CoRL 2018: 630-640 - [i2]Okan Koc, Guilherme Maeda, Jan Peters:
Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. CoRR abs/1807.01918 (2018) - [i1]Okan Koc, Jan Peters:
Learning to serve: an experimental study for a new learning from demonstrations framework. CoRR abs/1810.12950 (2018) - 2016
- [c3]Yanlong Huang, Dieter Buchler, Okan Koc, Bernhard Schölkopf
, Jan Peters:
Jointly learning trajectory generation and hitting point prediction in robot table tennis. Humanoids 2016: 650-655 - [c2]Okan Koc, Guilherme Maeda, Jan Peters:
A new trajectory generation framework in robotic table tennis. IROS 2016: 3750-3756 - 2015
- [c1]Okan Koc, Guilherme Maeda, Gerhard Neumann
, Jan Peters:
Optimizing robot striking movement primitives with Iterative Learning Control. Humanoids 2015: 80-87
Coauthor Index

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