Anssi Kanervisto

According to our database, Anssi Kanervisto authored at least 37 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Toward Human-AI Alignment in Large-Scale Multi-Player Games.

Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad

CoRR, 2024

2023

GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters.

Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki

IEEE Trans. Games, December, 2023

Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games.

Lukas Schäfer, Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, Sam Devlin

CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

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

CoRR, 2023

BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks.

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Imitating Human Behaviour with Diffusion Models.

Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Optimizing Tandem Speaker Verification and Anti-Spoofing Systems.

Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi

IEEE ACM Trans. Audio Speech Lang. Process., 2022

A2C is a special case of PPO.

Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa

CoRR, 2022

Retrospective on the 2021 BASALT Competition on Learning from Human Feedback.

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

CoRR, 2022

2021

Stable-Baselines3: Reliable Reinforcement Learning Implementations.

Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann

J. Mach. Learn. Res., 2021

The MineRL BASALT Competition on Learning from Human Feedback.

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

CoRR, 2021

Towards robust and domain agnostic reinforcement learning competitions.

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

CoRR, 2021

Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search.

Dylan R. Ashley, Anssi Kanervisto, Brendan Bennett

CoRR, 2021

Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Multi-Task Learning With Attention for End-to-End Autonomous Driving.

Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Distilling Reinforcement Learning Tricks for Video Games.

Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems.

Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Policy Supervectors: General Characterization of Agents by their Behaviour.

Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki

CoRR, 2020

An Initial Investigation on Optimizing Tandem Speaker Verification and Countermeasure Systems Using Reinforcement Learning.

Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Towards robust and domain agnostic reinforcement learning competitions: MineRL 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

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

From Video Game to Real Robot: The Transfer Between Action Spaces.

Janne Karttunen, Anssi Kanervisto, Ville Kyrki, Ville Hautamäki

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Action Space Shaping in Deep Reinforcement Learning.

Anssi Kanervisto, Christian Scheller, Ville Hautamäki

Proceedings of the IEEE Conference on Games, 2020

Benchmarking End-to-End Behavioural Cloning on Video Games.

Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki

Proceedings of the IEEE Conference on Games, 2020

2019

Do Autonomous Agents Benefit from Hearing?

Abraham Woubie, Anssi Kanervisto, Janne Karttunen, Ville Hautamäki

CoRR, 2019

Playing Minecraft with Behavioural Cloning.

Anssi Kanervisto, Janne Karttunen, Ville Hautamäki

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Towards Debugging Deep Neural Networks by Generating Speech Utterances.

Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki

Proceedings of the Interspeech 2019, 2019

Who Do I Sound like? Showcasing Speaker Recognition Technology by Youtube Voice Search.

Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen

Proceedings of the IEEE International Conference on Acoustics, 2019

ToriLLE: Learning Environment for Hand-to-Hand Combat.

Anssi Kanervisto, Ville Hautamäki

Proceedings of the IEEE Conference on Games, 2019

2018

Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification.

Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen

Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks.

Tomi Leppanen, Hana Vrzakova, Roman Bednarik, Anssi Kanervisto, Antti-Pekka Elomaa, Antti Huotarinen, Piotr Bartczak, Mikael von und zu Fraunberg, Juha E. Jääskeläinen

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017

The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016.

Kong-Aik Lee, Ville Hautamäki, Tomi Kinnunen, Anthony Larcher, Chunlei Zhang, Andreas Nautsch, Themos Stafylakis, Gang Liu, Mickaël Rouvier, Wei Rao, Federico Alegre, J. Ma, Man-Wai Mak, Achintya Kumar Sarkar, Héctor Delgado, Rahim Saeidi, Hagai Aronowitz, Aleksandr Sizov, Hanwu Sun, Trung Hieu Nguyen, G. Wang, Bin Ma, Ville Vestman, Md. Sahidullah, M. Halonen, Anssi Kanervisto, Gaël Le Lan, Fahimeh Bahmaninezhad, Sergey Isadskiy, Christian Rathgeb, Christoph Busch, Georgios Tzimiropoulos, Q. Qian, Z. Wang, Q. Zhao, T. Wang, H. Li, J. Xue, S. Zhu, R. Jin, T. Zhao, Pierre-Michel Bousquet, Moez Ajili, Waad Ben Kheder, Driss Matrouf, Zhi Hao Lim, Chenglin Xu, Haihua Xu, Xiong Xiao, Eng Siong Chng, Benoit G. B. Fauve, Kaavya Sriskandaraja, Vidhyasaharan Sethu, W. W. Lin, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Massimiliano Todisco, Nicholas W. D. Evans, Haizhou Li, John H. L. Hansen, Jean-François Bonastre, Eliathamby Ambikairajah

Proceedings of the Interspeech 2017, 2017

Image-to-Markup Generation with Coarse-to-Fine Attention.

Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush

Proceedings of the 34th International Conference on Machine Learning, 2017

Effects of gender information in text-independent and text-dependent speaker verification.

Anssi Kanervisto, Ville Vestman, Md. Sahidullah, Ville Hautamäki, Tomi Kinnunen

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

What You Get Is What You See: A Visual Markup Decompiler.

Yuntian Deng, Anssi Kanervisto, Alexander M. Rush

CoRR, 2016