Risto Vuorio

31 papers A* 8A 1Misc 1Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Tutorial on Meta-Reinforcement Learning.
Found. Trends Mach. Learn.
Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
2025 A* conf
Action-Constrained Imitation Learning.
ICML
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh
2025 J jnl
Action-Constrained Imitation Learning.
CoRR
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh
2025 A conf
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving.
IROS
Clémence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson
2024 J jnl
A Bayesian Solution To The Imitation Gap.
CoRR
Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson
2024 J jnl
Deconfounding Imitation Learning with Variational Inference.
Trans. Mach. Learn. Res.
Risto Vuorio, Pim de Haan, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen
2024 A* conf
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control.
ICML
Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024 J jnl
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control.
CoRR
Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024 J jnl
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving.
CoRR
Clémence Grislain, Risto Vuorio, Cong Lu, Shimon Whiteson
2024 J jnl
SplAgger: Split Aggregation for Meta-Reinforcement Learning.
RLJ
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2024 J jnl
SplAgger: Split Aggregation for Meta-Reinforcement Learning.
CoRR
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2023 J jnl
A Survey of Meta-Reinforcement Learning.
CoRR
Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson
2023 A* conf
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
NeurIPS
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob N. Foerster
2023 J jnl
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design.
CoRR
Matthew Thomas Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Gregory Farquhar, Shimon Whiteson, Jakob Nicolaus Foerster
2023 A* conf
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL.
NeurIPS
Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2023 J jnl
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL.
CoRR
Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
2022 A* conf
Adaptive Pairwise Weights for Temporal Credit Assignment.
AAAI
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
2022 J jnl
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients.
CoRR
Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar
2022 J jnl
Deconfounded Imitation Learning.
CoRR
Risto Vuorio, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen, Pim de Haan
2022 Misc conf
Hypernetworks in Meta-Reinforcement Learning.
CoRL
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
2022 J jnl
Hypernetworks in Meta-Reinforcement Learning.
CoRR
Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson
2021 A* conf
Learning State Representations from Random Deep Action-conditional Predictions.
NeurIPS
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021 J jnl
Learning State Representations from Random Deep Action-conditional Predictions.
CoRR
Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh
2021 J jnl
On the Practical Consistency of Meta-Reinforcement Learning Algorithms.
CoRR
Zheng Xiong, Luisa M. Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson
2021 J jnl
Pairwise Weights for Temporal Credit Assignment.
CoRR
Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh
2019 J jnl
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem.
CoRR
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 A* conf
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
ICDM
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 A* conf
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
NeurIPS
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2019 J jnl
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation.
CoRR
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim
2018 J jnl
Meta Continual Learning.
CoRR
Risto Vuorio, Dong-Yeon Cho, Daejoong Kim, Jiwon Kim
2018 J jnl
Toward Multimodal Model-Agnostic Meta-Learning.
CoRR
Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim