Anssi Kanervisto

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 55

Top Topics

Speaker Verification

Reinforcement Learning

Behavioural Cloning

Top Venues

NeurIPS (Competition and Demos)

Publications

Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
Toward Human-AI Alignment in Large-Scale Multi-Player Games. CoRR (2024)
Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret
Diffusion for World Modeling: Visual Details Matter in Atari. CoRR (2024)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR (2023)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks. NeurIPS (2023)
Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
Imitating Human Behaviour with Diffusion Models. ICLR (2023)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks. CoRR (2023)
Lukas Schäfer, Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, Sam Devlin
Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. CoRR (2023)
Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
Imitating Human Behaviour with Diffusion Models. CoRR (2023)
Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki
GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. IEEE Trans. Games 15 (4) (2023)
Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa
A2C is a special case of PPO. CoRR (2022)
Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR (2022)
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. CoRR (2022)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. CoRR (2022)
Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki
GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. CoRR (2022)
Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. CoRR (2022)
Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Nicholay Topin, Zichuan Lin, Junyou Li, Jianing Shi, Deheng Ye, Qiang Fu, Wei Yang, Weijun Hong, Zhongyue Huang, Haicheng Chen, Guangjun Zeng, Yue Lin, Vincent Micheli, Eloi Alonso, François Fleuret, Alexander Nikulin, Yury Belousov, Oleg Svidchenko, Aleksei Shpilman
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) (2021)
Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki
Multi-Task Learning With Attention for End-to-End Autonomous Driving. CVPR Workshops (2021)
Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) (2021)
Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann
Stable-Baselines3: Reliable Reinforcement Learning Implementations. J. Mach. Learn. Res. 22 (2021)
Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki
Distilling Reinforcement Learning Tricks for Video Games. CoRR (2021)
Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoG (2021)
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
Towards robust and domain agnostic reinforcement learning competitions. CoRR (2021)
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Jun Shern Chan, Daniel del Castillo, Tom Lieberum
Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. NeurIPS (Competition and Demos) (2021)
Dylan R. Ashley, Anssi Kanervisto, Brendan Bennett
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search. CoRR (2021)
Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William H. Guss, Sharada P. Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca D. Dragan
The MineRL BASALT Competition on Learning from Human Feedback. CoRR (2021)
Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoRR (2021)
Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki
Distilling Reinforcement Learning Tricks for Video Games. CoG (2021)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) (2021)
Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki
Multi-task Learning with Attention for End-to-end Autonomous Driving. CoRR (2021)
Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki
Benchmarking End-to-End Behavioural Cloning on Video Games. CoG (2020)
Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki
Policy Supervectors: General Characterization of Agents by their Behaviour. CoRR (2020)
Anssi Kanervisto, Christian Scheller, Ville Hautamäki
Action Space Shaping in Deep Reinforcement Learning. CoG (2020)
Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
An Initial Investigation on Optimizing Tandem Speaker Verification and Countermeasure Systems Using Reinforcement Learning. Odyssey (2020)
Janne Karttunen, Anssi Kanervisto, Ville Kyrki, Ville Hautamäki
From Video Game to Real Robot: The Transfer Between Action Spaces. ICASSP (2020)
Anssi Kanervisto, Christian Scheller, Ville Hautamäki
Action Space Shaping in Deep Reinforcement Learning. CoRR (2020)
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada P. Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge J. Ritter, Chengjie Wu, Xiaotian Hao, Yiming Lu, Hangyu Mao, Yihuan Mao, Chao Wang, Michal Opanowicz, Anssi Kanervisto, Yanick Schraner, Christian Scheller, Xiren Zhou, Lu Liu, Daichi Nishio, Toi Tsuneda, Karolis Ramanauskas, Gabija Juceviciute
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. NeurIPS (Competition and Demos) (2020)
Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning. CoRR (2020)
Anssi Kanervisto, Janne Karttunen, Ville Hautamäki
Playing Minecraft with Behavioural Cloning. CoRR (2020)
Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki
Benchmarking End-to-End Behavioural Cloning on Video Games. CoRR (2020)
Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki
Towards Debugging Deep Neural Networks by Generating Speech Utterances. INTERSPEECH (2019)
Abraham Woubie, Anssi Kanervisto, Janne Karttunen, Ville Hautamäki
Do Autonomous Agents Benefit from Hearing? CoRR (2019)
Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
Who Do I Sound like? Showcasing Speaker Recognition Technology by Youtube Voice Search. ICASSP (2019)
Anssi Kanervisto, Janne Karttunen, Ville Hautamäki
Playing Minecraft with Behavioural Cloning. NeurIPS (Competition and Demos) (2019)
Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki
Towards Debugging Deep Neural Networks by Generating Speech Utterances. CoRR (2019)
Janne Karttunen, Anssi Kanervisto, Ville Hautamäki, Ville Kyrki
From Video Game to Real Robot: The Transfer between Action Spaces. CoRR (2019)
Anssi Kanervisto, Ville Hautamäki
ToriLLE: Learning Environment for Hand-to-Hand Combat. CoG (2019)
Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search. CoRR (2018)
Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification. CoRR (2018)
Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification. Odyssey (2018)
Anssi Kanervisto, Ville Hautamäki
ToriLLE: Learning Environment for Hand-to-Hand Combat. CoRR (2018)
Tomi Leppanen, Hana Vrzakova, Roman Bednarik, Anssi Kanervisto, Antti-Pekka Elomaa, Antti Huotarinen, Piotr Bartczak, Mikael von und zu Fraunberg, Juha E. Jääskeläinen
Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks. CBMS (2018)
Anssi Kanervisto, Ville Vestman, Md. Sahidullah, Ville Hautamäki, Tomi Kinnunen
Effects of gender information in text-independent and text-dependent speaker verification. ICASSP (2017)
Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush
Image-to-Markup Generation with Coarse-to-Fine Attention. ICML (2017)
Yuntian Deng, Anssi Kanervisto, Alexander M. Rush
What You Get Is What You See: A Visual Markup Decompiler. CoRR (2016)