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2020 – today
- 2024
[i12]Elmira Amirloo, Jean-Philippe Fauconnier, Christoph Roesmann, Christian Kerl, Rinu Boney, Yusu Qian, Zirui Wang, Afshin Dehghan, Yinfei Yang, Zhe Gan, Peter Grasch:
Understanding Alignment in Multimodal LLMs: A Comprehensive Study. CoRR abs/2407.02477 (2024)- 2023
- [c9]Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen:
Simplified Temporal Consistency Reinforcement Learning. ICML 2023: 42227-42246 - [c8]Khaled Nakhleh, Minahil Raza, Mack Tang, Matthew Andrews, Rinu Boney, Ilija Hadzic, Jeongran Lee, Atefeh Mohajeri, Karina Palyutina:
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations. ICRA 2023: 9464-9470 - [i11]Khaled Nakhleh, Minahil Raza, Mack Tang, Matthew Andrews, Rinu Boney, Ilija Hadzic, Jeongran Lee, Atefeh Mohajeri, Karina Palyutina:
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations. CoRR abs/2303.11801 (2023) - [i10]Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen:
Simplified Temporal Consistency Reinforcement Learning. CoRR abs/2306.09466 (2023) - 2022
- [j1]Rinu Boney
, Alexander Ilin, Juho Kannala, Jarno Seppänen:
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. IEEE Trans. Games 14(2): 262-272 (2022) - [c7]Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen:
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN 2022 - [i9]Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen:
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR abs/2210.13846 (2022) - 2021
- [c6]Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala:
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning. ICAR 2021: 275-281 - [i8]Rinu Boney, Alexander Ilin, Juho Kannala:
End-to-End Learning of Keypoint Representations for Continuous Control from Images. CoRR abs/2106.07995 (2021) - 2020
- [i7]Ari Viitala, Rinu Boney, Juho Kannala:
Learning to Drive Small Scale Cars from Scratch. CoRR abs/2008.00715 (2020) - [i6]Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala:
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning. CoRR abs/2011.03085 (2020) - [i5]Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen:
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. CoRR abs/2012.12186 (2020)
2010 – 2019
- 2019
- [c5]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRL 2019: 182-191 - [c4]Rinu Boney, Alexander Ilin:
Active one-shot learning with Prototypical Networks. ESANN 2019 - [c3]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS 2019: 2855-2865 - [i4]Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola:
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR abs/1903.11981 (2019) - [i3]Rinu Boney, Juho Kannala, Alexander Ilin:
Regularizing Model-Based Planning with Energy-Based Models. CoRR abs/1910.05527 (2019) - 2018
- [c2]Rinu Boney, Alexander Ilin:
Semi-Supervised Few-Shot Learning with MAML. ICLR (Workshop) 2018 - 2017
- [c1]Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao, Antti Rasmus, Rinu Boney, Harri Valpola:
Recurrent Ladder Networks. NIPS 2017: 6009-6019 - [i2]Alexander Ilin, Isabeau Prémont-Schwarz, Tele Hotloo Hao, Antti Rasmus, Rinu Boney, Harri Valpola:
Recurrent Ladder Networks. CoRR abs/1707.09219 (2017) - [i1]Rinu Boney, Alexander Ilin:
Semi-Supervised Few-Shot Learning with Prototypical Networks. CoRR abs/1711.10856 (2017)
Coauthor Index
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last updated on 2024-08-08 19:10 CEST by the dblp team
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