Rchr
J-GLOBAL ID：202301012314546276
Update date: Jul. 01, 2023
Parmas Paavo
パラマス パーヴォ | Parmas Paavo
Affiliation and department：
Job title：
Program-Specific Assistant Professor
Research field (1)：
Intelligent informatics
Research keywords (1)：
Machine Learning, Reinforcement Learning
Research theme for competitive and other funds (1)：
- 2022 - 2027 Generative adversarial brain: a comprehensive study of multi-agent learning by natural and artificial intelligence
Papers (5)：
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Paavo Parmas, Takuma Seno. Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms. NeurIPS. 2022
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Paavo Parmas, Masashi Sugiyama. A unified view of likelihood ratio and reparameterization gradients. The 24th International Conference on Artificial Intelligence and Statistics(AISTATS). 2021. 4078-4086
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Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Paavo Parmas, Edgar A. Duéñez-Guzmán, et al. Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems(AAMAS). 2020. 492-501
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Paavo Parmas. Total stochastic gradient algorithms and applications in reinforcement learning. Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018(NeurIPS). 2018. 10225-10235
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Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. Proceedings of the 35th International Conference on Machine Learning(ICML). 2018. 4062-4071
Education (2)：
- 2014 - 2020 Okinawa Institute of Science and Technology Graduate University 5 Year Graduate Course
- 2010 - 2014 University of Cambridge Department of Engineering 4 Year Course
Professional career (2)：
- PhD (Okinawa Institute of Science and Technology Graduate University)
- MEng, BA (University of Cambridge)
Work history (4)：
- 2020/11 - 現在 Kyoto University Graduate School of Informatics Program-Specific Assistant Professor
- 2020/02 - 2020/10 Okinawa Institute of Science and Technology Graduate University Junior Research Fellow
- 2019/07 - 2019/10 Google DeepMind Paris Research Intern
- 2019/04 - 2019/07 RIKEN-AIP Research Intern
Awards (3)：
- 2020 - Okinawa Institute of Science and Technology Graduate University Peter Gruss Doctoral Dissertation Excellence Award Total stochastic gradient algorithms and applications to model-based reinforcement learning
- 2014 - University of Cambridge Best final presentation award in the Information Engineering group
- 2013 - University of Cambridge, Churchill College Bill Brown Prize, Best academic results in Engineering at Churchill College
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