Meta Continual Learning. - Risto Vuorio; Dong-Yeon Cho; Daejoong Kim; Jiwon Kim (CoRR, 2018)

Toward Multimodal Model-Agnostic Meta-Learning. - Risto Vuorio; Shao-Hua Sun; Hexiang Hu; Joseph J. Lim (CoRR, 2018)

Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. - John Holler; Risto Vuorio; Zhiwei (Tony) Qin; Xiaocheng Tang; Yan Jiao; Tiancheng Jin; Satinder Singh 001; Chenxi Wang; Jieping Ye (ICDM, 2019)

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. - Risto Vuorio; Shao-Hua Sun; Hexiang Hu; Joseph J. Lim (NeurIPS, 2019)

Learning State Representations from Random Deep Action-conditional Predictions. - Zeyu Zheng; Vivek Veeriah; Risto Vuorio; Richard L. Lewis; Satinder Singh 001 (NeurIPS, 2021)

Pairwise Weights for Temporal Credit Assignment. - Zeyu Zheng; Risto Vuorio; Richard L. Lewis; Satinder Singh 001 (CoRR, 2021)

On the Practical Consistency of Meta-Reinforcement Learning Algorithms. - Zheng Xiong; Luisa M. Zintgraf; Jacob Beck; Risto Vuorio; Shimon Whiteson (CoRR, 2021)

Adaptive Pairwise Weights for Temporal Credit Assignment. - Zeyu Zheng; Risto Vuorio; Richard L. Lewis; Satinder Singh 001 (AAAI, 2022)

Hypernetworks in Meta-Reinforcement Learning. - Jacob Beck; Matthew Thomas Jackson; Risto Vuorio; Shimon Whiteson (CoRL, 2022)

An Investigation of the Bias-Variance Tradeoff in Meta-Gradients. - Risto Vuorio; Jacob Beck; Shimon Whiteson; Jakob N. Foerster; Gregory Farquhar (CoRR, 2022)

Deconfounded Imitation Learning. - Risto Vuorio; Johann Brehmer; Hanno Ackermann; Daniel Dijkman; Taco Cohen; Pim de Haan (CoRR, 2022)

Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. - Jacob Beck; Risto Vuorio; Zheng Xiong; Shimon Whiteson (NeurIPS, 2023)

Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design. - Matthew Thomas Jackson; Minqi Jiang; Jack Parker-Holder; Risto Vuorio; Chris Lu 001; Gregory Farquhar; Shimon Whiteson; Jakob N. Foerster (NeurIPS, 2023)

A Survey of Meta-Reinforcement Learning. - Jacob Beck; Risto Vuorio; Evan Zheran Liu; Zheng Xiong; Luisa M. Zintgraf; Chelsea Finn; Shimon Whiteson (CoRR, 2023)

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. - Zheng Xiong; Risto Vuorio; Jacob Beck; Matthieu Zimmer; Kun Shao; Shimon Whiteson (ICML, 2024)

SplAgger: Split Aggregation for Meta-Reinforcement Learning. - Jacob Beck; Matthew Thomas Jackson; Risto Vuorio; Zheng Xiong; Shimon Whiteson (RLJ, 2024)

A Bayesian Solution To The Imitation Gap. - Risto Vuorio; Mattie Fellows; Cong Lu; Clémence Grislain; Shimon Whiteson (CoRR, 2024)

IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving. - Clémence Grislain; Risto Vuorio; Cong Lu; Shimon Whiteson (CoRR, 2024)

Deconfounding Imitation Learning with Variational Inference. - Risto Vuorio; Pim de Haan; Johann Brehmer; Hanno Ackermann; Daniel Dijkman; Taco Cohen (Trans. Mach. Learn. Res., 2024)

A Tutorial on Meta-Reinforcement Learning. - Jacob Beck; Risto Vuorio; Evan Zheran Liu; Zheng Xiong; Luisa M. Zintgraf; Chelsea Finn; Shimon Whiteson (Found. Trends Mach. Learn., 2025)

Action-Constrained Imitation Learning. - Chia-Han Yeh; Tse-Sheng Nan; Risto Vuorio; Wei Hung; Hung-Yen Wu; Shao-Hua Sun; Ping-Chun Hsieh (CoRR, 2025)