Rinu Boney

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Temporal Consistency

Reinforcement Learning

Collision Avoidance

Adaptive Behavior

Top Venues

Publications

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 (2024)
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
Simplified Temporal Consistency Reinforcement Learning. ICML (2023)
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)
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 (2023)
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
Simplified Temporal Consistency Reinforcement Learning. CoRR (2023)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. ESANN (2022)
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning. CoRR (2022)
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. IEEE Trans. Games 14 (2) (2022)
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)
Rinu Boney, Alexander Ilin, Juho Kannala
End-to-End Learning of Keypoint Representations for Continuous Control from Images. CoRR (2021)
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 (2020)
Ari Viitala, Rinu Boney, Juho Kannala
Learning to Drive Small Scale Cars from Scratch. CoRR (2020)
Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner. CoRR (2020)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS (2019)
Rinu Boney, Alexander Ilin
Active one-shot learning with Prototypical Networks. ESANN (2019)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR (2019)
Rinu Boney, Juho Kannala, Alexander Ilin
Regularizing Model-Based Planning with Energy-Based Models. CoRR (2019)
Rinu Boney, Juho Kannala, Alexander Ilin
Regularizing Model-Based Planning with Energy-Based Models. CoRL (2019)
Rinu Boney, Alexander Ilin
Semi-Supervised Few-Shot Learning with MAML. ICLR (Workshop) (2018)
Rinu Boney, Alexander Ilin
Semi-Supervised Few-Shot Learning with Prototypical Networks. CoRR (2017)
Alexander Ilin, Isabeau Prémont-Schwarz, Tele Hotloo Hao, Antti Rasmus, Rinu Boney, Harri Valpola
Recurrent Ladder Networks. CoRR (2017)
Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao, Antti Rasmus, Rinu Boney, Harri Valpola
Recurrent Ladder Networks. NIPS (2017)