Anssi Kanervisto

62 papers A* 5A 2B 1C 5Misc 3Journal 37Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning. CoRR Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi
2025	J	`jnl`	Fast Adaptation with Behavioral Foundation Models. CoRR Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta
2025	J	`jnl`	World and Human Action Models towards gameplay ideation. Nat. Anssi Kanervisto, David Bignell, Linda Yilin Wen, Martin Grayson, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce, Yuhan Cao, Abdelhak Lemkhenter, Chentian Jiang, Gavin Costello, Gunshi Gupta, Marko Tot, Shu Ishida, Tarun Gupta, Udit Arora, Ryen W. White, Sam Devlin, Cecily Morrison, Katja Hofmann
2025	A*	`conf`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. ICLR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2025	J	`jnl`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. CoRR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2024	A*	`conf`	Diffusion for World Modeling: Visual Details Matter in Atari. NeurIPS Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret
2024	J	`jnl`	Diffusion for World Modeling: Visual Details Matter in Atari. CoRR Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos J. Storkey, Tim Pearce, François Fleuret
2024	J	`jnl`	Toward Human-AI Alignment in Large-Scale Multi-Player Games. CoRR Sugandha Sharma, Guy Davidson, Khimya Khetarpal, Anssi Kanervisto, Udit Arora, Katja Hofmann, Ida Momennejad
2023	A*	`conf`	BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks. NeurIPS Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah
2023	J	`jnl`	BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks. CoRR Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Rohin Shah
2023	J	`jnl`	GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. IEEE Trans. Games Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki
2023	A*	`conf`	Imitating Human Behaviour with Diffusion Models. ICLR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Imitating Human Behaviour with Diffusion Models. CoRR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR 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
2023	J	`jnl`	Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games. CoRR Lukas Schäfer, Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, Sam Devlin
2022	J	`jnl`	A2C is a special case of PPO. CoRR Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa
2022	J	`jnl`	GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. CoRR Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki
2022	J	`jnl`	Insights From the NeurIPS 2021 NetHack Challenge. CoRR 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
2022	J	`jnl`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. CoRR 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
2022	J	`jnl`	Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. CoRR Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
2022	J	`jnl`	Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. IEEE ACM Trans. Audio Speech Lang. Process. Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
2022	J	`jnl`	Retrospective on the 2021 BASALT Competition on Learning from Human Feedback. CoRR 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
2021	C	`conf`	Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoG Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
2021	J	`jnl`	Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoRR Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko
2021	J	`jnl`	Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search. CoRR Dylan R. Ashley, Anssi Kanervisto, Brendan Bennett
2021	C	`conf`	Distilling Reinforcement Learning Tricks for Video Games. CoG Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki
2021	J	`jnl`	Distilling Reinforcement Learning Tricks for Video Games. CoRR Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki
2021	—	`conf`	Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 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
2021	—	`conf`	MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 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
2021	—	`conf`	Multi-Task Learning With Attention for End-to-End Autonomous Driving. CVPR Workshops Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki
2021	J	`jnl`	Multi-task Learning with Attention for End-to-end Autonomous Driving. CoRR Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki
2021	—	`conf`	Retrospective on the 2021 MineRL BASALT Competition on Learning from Human Feedback. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Stable-Baselines3: Reliable Reinforcement Learning Implementations. J. Mach. Learn. Res. Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann
2021	J	`jnl`	The MineRL BASALT Competition on Learning from Human Feedback. CoRR 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
2021	—	`conf`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Towards robust and domain agnostic reinforcement learning competitions. CoRR 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
2020	C	`conf`	Action Space Shaping in Deep Reinforcement Learning. CoG Anssi Kanervisto, Christian Scheller, Ville Hautamäki
2020	J	`jnl`	Action Space Shaping in Deep Reinforcement Learning. CoRR Anssi Kanervisto, Christian Scheller, Ville Hautamäki
2020	—	`conf`	An Initial Investigation on Optimizing Tandem Speaker Verification and Countermeasure Systems Using Reinforcement Learning. Odyssey Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
2020	J	`jnl`	An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning. CoRR Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi
2020	C	`conf`	Benchmarking End-to-End Behavioural Cloning on Video Games. CoG Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki
2020	J	`jnl`	Benchmarking End-to-End Behavioural Cloning on Video Games. CoRR Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki
2020	Misc	`conf`	From Video Game to Real Robot: The Transfer Between Action Spaces. ICASSP Janne Karttunen, Anssi Kanervisto, Ville Kyrki, Ville Hautamäki
2020	J	`jnl`	Playing Minecraft with Behavioural Cloning. CoRR Anssi Kanervisto, Janne Karttunen, Ville Hautamäki
2020	J	`jnl`	Policy Supervectors: General Characterization of Agents by their Behaviour. CoRR Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki
2020	—	`conf`	Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. NeurIPS (Competition and Demos) 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
2019	J	`jnl`	Do Autonomous Agents Benefit from Hearing? CoRR Abraham Woubie, Anssi Kanervisto, Janne Karttunen, Ville Hautamäki
2019	J	`jnl`	From Video Game to Real Robot: The Transfer between Action Spaces. CoRR Janne Karttunen, Anssi Kanervisto, Ville Hautamäki, Ville Kyrki
2019	—	`conf`	Playing Minecraft with Behavioural Cloning. NeurIPS (Competition and Demos) Anssi Kanervisto, Janne Karttunen, Ville Hautamäki
2019	C	`conf`	ToriLLE: Learning Environment for Hand-to-Hand Combat. CoG Anssi Kanervisto, Ville Hautamäki
2019	A	`conf`	Towards Debugging Deep Neural Networks by Generating Speech Utterances. INTERSPEECH Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki
2019	J	`jnl`	Towards Debugging Deep Neural Networks by Generating Speech Utterances. CoRR Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki
2019	Misc	`conf`	Who Do I Sound like? Showcasing Speaker Recognition Technology by Youtube Voice Search. ICASSP Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
2018	B	`conf`	Augmenting Microsurgical Training: Microsurgical Instrument Detection Using Convolutional Neural Networks. CBMS Tomi Leppanen, Hana Vrzakova, Roman Bednarik, Anssi Kanervisto, Antti-Pekka Elomaa, Antti Huotarinen, Piotr Bartczak, Mikael von und zu Fraunberg, Juha E. Jääskeläinen
2018	—	`conf`	Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification. Odyssey Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
2018	J	`jnl`	Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification. CoRR Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
2018	J	`jnl`	ToriLLE: Learning Environment for Hand-to-Hand Combat. CoRR Anssi Kanervisto, Ville Hautamäki
2018	J	`jnl`	Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search. CoRR Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen
2017	Misc	`conf`	Effects of gender information in text-independent and text-dependent speaker verification. ICASSP Anssi Kanervisto, Ville Vestman, Md. Sahidullah, Ville Hautamäki, Tomi Kinnunen
2017	A*	`conf`	Image-to-Markup Generation with Coarse-to-Fine Attention. ICML Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush
2017	A	`conf`	The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. INTERSPEECH 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, Guangsen 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
2016	J	`jnl`	What You Get Is What You See: A Visual Markup Decompiler. CoRR Yuntian Deng, Anssi Kanervisto, Alexander M. Rush