Rinu Boney

According to our database, Rinu Boney authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Understanding Alignment in Multimodal LLMs: A Comprehensive Study.

Elmira Amirloo, Jean-Philippe Fauconnier, Christoph Roesmann, Christian Kerl, Rinu Boney, Yusu Qian, Zirui Wang, Afshin Dehghan, Yinfei Yang, Zhe Gan, Peter Grasch

CoRR, 2024

2023

SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations.

Khaled Nakhleh, Minahil Raza, Mack Tang, Matthew Andrews, Rinu Boney, Ilija Hadzic, Jeongran Lee, Atefeh Mohajeri, Karina Palyutina

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Simplified Temporal Consistency Reinforcement Learning.

Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen

Proceedings of the International Conference on Machine Learning, 2023

2022

Learning to Play Imperfect-Information Games by Imitating an Oracle Planner.

Rinu Boney, Alexander Ilin, Juho Kannala, Jarno Seppänen

IEEE Trans. Games, 2022

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.

Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

End-to-End Learning of Keypoint Representations for Continuous Control from Images.

Rinu Boney, Alexander Ilin, Juho Kannala

CoRR, 2021

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning.

Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala

Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020

RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning.

Rinu Boney, Jussi Sainio, Mikko Kaivola, Arno Solin, Juho Kannala

CoRR, 2020

Learning to Drive Small Scale Cars from Scratch.

Ari Viitala, Rinu Boney, Juho Kannala

CoRR, 2020

2019

Regularizing Trajectory Optimization with Denoising Autoencoders.

Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Active one-shot learning with Prototypical Networks.

Rinu Boney, Alexander Ilin

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Regularizing Model-Based Planning with Energy-Based Models.

Rinu Boney, Juho Kannala, Alexander Ilin

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Semi-Supervised Few-Shot Learning with MAML.

Rinu Boney, Alexander Ilin

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Semi-Supervised Few-Shot Learning with Prototypical Networks.

Rinu Boney, Alexander Ilin

CoRR, 2017

Recurrent Ladder Networks.

Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao, Antti Rasmus, Rinu Boney, Harri Valpola

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017