A. Kanervisto

Most-cited papers

Stable-Baselines3: Reliable Reinforcement Learning Implementations
A. Raffin, Ashley Hill, A. Gleave, A. Kanervisto +2 more
2021Journal of machine learning research3,322 citations
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Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso, Adam Jelley, Vincent Micheli, A. Kanervisto +3 more
2024Neural Information Processing Systems397 citations
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Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, A. Kanervisto, David Bignell +7 more
2023International Conference on Learning Representations351 citations Open access
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Image-to-Markup Generation with Coarse-to-Fine Attention
Yuntian Deng, A. Kanervisto, Jeffrey Ling, Alexander M. Rush
2016International Conference on Machine Learning285 citations
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Action Space Shaping in Deep Reinforcement Learning
A. Kanervisto, C. Scheller, Ville Hautamäki
20202020 IEEE Conference on Games (CoG)129 citations Open access
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Multi-task Learning with Attention for End-to-end Autonomous Driving
Keishi Ishihara, A. Kanervisto, J. Miura, Ville Hautamäki
20212021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)101 citations Open access
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World and Human Action Models towards gameplay ideation
A. Kanervisto, David Bignell, L. Wen, M. Grayson +18 more
2025Nature81 citations Open access
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BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Yitang Li, Zhengyi Luo, Tonghe Zhang, Cun-Xi Dai +9 more
2025arXiv.org80 citations
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Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models
Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek +4 more
2025International Conference on Learning Representations76 citations
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What You Get Is What You See: A Visual Markup Decompiler
Yuntian Deng, A. Kanervisto, Alexander M. Rush
2016arXiv.org69 citations
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A2C is a special case of PPO
Shengyi Huang, A. Kanervisto, A. Raffin, Wei-Xun Wang +2 more
2022arXiv.org49 citations Open access
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MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
A. Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin +18 more
2022Neural Information Processing Systems37 citations
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The MineRL BASALT Competition on Learning from Human Feedback
Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex +9 more
2021arXiv.org34 citations
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GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters
A. Kanervisto, T. Kinnunen, Ville Hautamäki
2022IEEE Transactions on Games30 citations Open access
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Fast Adaptation with Behavioral Foundation Models
Harshit S. Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu +5 more
2025arXiv.org27 citations
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Benchmarking End-to-End Behavioural Cloning on Video Games
A. Kanervisto, J. Pussinen, Ville Hautamäki
20202020 IEEE Conference on Games (CoG)27 citations Open access
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Insights From the NeurIPS 2021 NetHack Challenge
Eric Hambro, S. Mohanty, Dmitrii Babaev, Mi-Ra Byeon +25 more
2022Neural Information Processing Systems22 citations Open access
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Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
Stephanie Milani, A. Kanervisto, Karolis Ramanauskas, Sander Schulhoff +27 more
2023Neural Information Processing Systems19 citations Open access
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Optimizing Tandem Speaker Verification and Anti-Spoofing Systems
A. Kanervisto, Ville Hautamäki, T. Kinnunen, J. Yamagishi
2022IEEE/ACM Transactions on Audio Speech and Language Processing18 citations Open access
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Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems
Shashank Hegde, A. Kanervisto, Aleksei Petrenko
20212021 IEEE Conference on Games (CoG)16 citations Open access
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Playing Minecraft with Behavioural Cloning
A. Kanervisto, Janne Karttunen, Ville Hautamäki
2020Neural Information Processing Systems14 citations
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Effects of gender information in text-independent and text-dependent speaker verification
A. Kanervisto, Ville Vestman, Md Sahidullah, Ville Hautamäki +1 more
2017IEEE International Conference on Acoustics, Speech, and Signal Processing13 citations Open access
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BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
Stephanie Milani, A. Kanervisto, Karolis Ramanauskas, Sander Schulhoff +2 more
2023Neural Information Processing Systems12 citations
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Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks
Tommi Leppänen, Hana Vrzáková, R. Bednarik, A. Kanervisto +5 more
20182018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS)12 citations Open access
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From Video Game to Real Robot: The Transfer Between Action Spaces
Janne Karttunen, A. Kanervisto, V. Kyrki, Ville Hautamäki
2019IEEE International Conference on Acoustics, Speech, and Signal Processing9 citations Open access
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Do Autonomous Agents Benefit from Hearing?
Abraham Woubie, A. Kanervisto, Janne Karttunen, Ville Hautamäki
2019arXiv.org8 citations
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Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games
Lukas Schäfer, Logan C. Jones, A. Kanervisto, Yuhan Cao +6 more
2023arXiv.org6 citations
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Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification
Rosa González Hautamäki, A. Kanervisto, Ville Hautamäki, T. Kinnunen
2018The Speaker and Language Recognition Workshop6 citations Open access
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Distilling Reinforcement Learning Tricks for Video Games
A. Kanervisto, C. Scheller, Yanick Schraner, Ville Hautamäki
20212021 IEEE Conference on Games (CoG)5 citations Open access
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Who Do I Sound like? Showcasing Speaker Recognition Technology by Youtube Voice Search
Ville Vestman, Bilal Soomro, A. Kanervisto, Ville Hautamäki +1 more
2018IEEE International Conference on Acoustics, Speech, and Signal Processing5 citations Open access
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Toward Human-AI Alignment in Large-Scale Multi-Player Games
Sugandha Sharma, Guy Davidson, Khimya Khetarpal, A. Kanervisto +3 more
2024arXiv.org4 citations
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General Characterization of Agents by States they Visit
A. Kanervisto, T. Kinnunen, Ville Hautamäki
20203 citations
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Towards robust and domain agnostic reinforcement learning competitions
W. H. Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton +25 more
2021Neural Information Processing Systems2 citations
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An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning
A. Kanervisto, Ville Hautamäki, T. Kinnunen, J. Yamagishi
2020The Speaker and Language Recognition Workshop2 citations Open access
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ToriLLE: Learning Environment for Hand-to-Hand Combat
A. Kanervisto, Ville Hautamäki
20182019 IEEE Conference on Games (CoG)2 citations Open access
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Retrospective on the 2021 BASALT Competition on Learning from Human Feedback
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani +12 more
2022arXiv.org1 citations Open access
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Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search
Dylan R. Ashley, A. Kanervisto, B. Bennett
2021arXiv.org1 citations
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im2latex-100k-dataset
A. Kanervisto
20161 citations
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Hierarchical Behaviour Spaces
Michael T. Matthews, A. Kanervisto, J. Foerster, P. D'Oro +2 more
2026arXiv.org0 citations
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Reinforcement Learning for Swarm Control of Unmanned Aerial Vehicles
A. Raffin, M. Ernestus, A. Gleave, A. Kanervisto +1 more
20230 citations
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Policy Supervectors: General Characterization of Agents by their Behaviour
A. Kanervisto, T. Kinnunen, Ville Hautamäki
2020arXiv.org0 citations
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Towards Debugging Deep Neural Networks by Generating Speech Utterances
Bilal Soomro, A. Kanervisto, Trung Ngo Trong, Ville Hautamäki
2019Interspeech0 citations Open access
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Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents
Zihao Wang, Shaofei Cai, Guan-Zhou Chen, Anji Liu +107 more
0 citations
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