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ORCIDRisto Vuorio
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Conference and Workshop Papers
- 2024
[c9]Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson:
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. ICML 2024- [c8]Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson:
SplAgger: Split Aggregation for Meta-Reinforcement Learning. RLC 2024: 450-469 - 2023
- [c7]Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson:
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. NeurIPS 2023 - [c6]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 - 2022
- [c5]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI 2022: 9225-9232 - [c4]Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson:
Hypernetworks in Meta-Reinforcement Learning. CoRL 2022: 1478-1487 - 2021
- [c3]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS 2021: 23679-23691 - 2019
- [c2]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: 1090-1095 - [c1]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. NeurIPS 2019: 1-12
Informal and Other Publications
- 2024
- [i16]Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson:
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. CoRR abs/2402.06570 (2024) - [i15]Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Zheng Xiong, Shimon Whiteson:
SplAgger: Split Aggregation for Meta-Reinforcement Learning. CoRR abs/2403.03020 (2024) - [i14]Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson:
A Bayesian Solution To The Imitation Gap. CoRR abs/2407.00495 (2024) - 2023
- [i13]Jacob Beck, Risto Vuorio, Evan Zheran Liu, Zheng Xiong, Luisa M. Zintgraf, Chelsea Finn, Shimon Whiteson:
A Survey of Meta-Reinforcement Learning. CoRR abs/2301.08028 (2023) - [i12]Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson:
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. CoRR abs/2309.14970 (2023) - [i11]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 abs/2310.02782 (2023) - 2022
- [i10]Risto Vuorio, Jacob Beck, Shimon Whiteson, Jakob N. Foerster, Gregory Farquhar:
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients. CoRR abs/2209.11303 (2022) - [i9]Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson:
Hypernetworks in Meta-Reinforcement Learning. CoRR abs/2210.11348 (2022) - [i8]Risto Vuorio, Johann Brehmer, Hanno Ackermann, Daniel Dijkman, Taco Cohen, Pim de Haan:
Deconfounded Imitation Learning. CoRR abs/2211.02667 (2022) - 2021
- [i7]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. CoRR abs/2102.04897 (2021) - [i6]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Pairwise Weights for Temporal Credit Assignment. CoRR abs/2102.04999 (2021) - [i5]Zheng Xiong, Luisa M. Zintgraf, Jacob Beck, Risto Vuorio, Shimon Whiteson:
On the Practical Consistency of Meta-Reinforcement Learning Algorithms. CoRR abs/2112.00478 (2021) - 2019
- [i4]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. CoRR abs/1910.13616 (2019) - [i3]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 abs/1911.11260 (2019) - 2018
- [i2]Risto Vuorio, Dong-Yeon Cho, Daejoong Kim, Jiwon Kim:
Meta Continual Learning. CoRR abs/1806.06928 (2018) - [i1]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Toward Multimodal Model-Agnostic Meta-Learning. CoRR abs/1812.07172 (2018)
Coauthor Index
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