Risto Vuorio

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Credit Assignment

Top Venues

Publications

Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. CoRR (2024)
Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson
A Bayesian Solution To The Imitation Gap. CoRR (2024)
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
SplAgger: Split Aggregation for Meta-Reinforcement Learning. CoRR (2024)
Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. CoRR (2023)
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. NeurIPS (2023)
Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
A Survey of Meta-Reinforcement Learning. CoRR (2023)
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. CoRR (2023)
Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. NeurIPS (2023)
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI (2022)
Risto Vuorio, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen, Pim de Haan
Deconfounded Imitation Learning. CoRR (2022)
Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients. CoRR (2022)
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
Hypernetworks in Meta-Reinforcement Learning. CoRR (2022)
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
Hypernetworks in Meta-Reinforcement Learning. CoRL (2022)
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions. CoRR (2021)
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS (2021)
Zheng Xiong, Luisa M. Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson
On the Practical Consistency of Meta-Reinforcement Learning Algorithms. CoRR (2021)
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
Pairwise Weights for Temporal Credit Assignment. CoRR (2021)
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. NeurIPS (2019)
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. CoRR (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. CoRR (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. ICDM (2019)
Risto Vuorio, Dong-Yeon Cho, Daejoong Kim, Jiwon Kim
Meta Continual Learning. CoRR (2018)
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
Toward Multimodal Model-Agnostic Meta-Learning. CoRR (2018)