default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnssi Kanervisto
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[i30]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 abs/2402.03575 (2024)- [i29]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 abs/2405.12399 (2024) - 2023
- [j3]Anssi Kanervisto
, Tomi Kinnunen, Ville Hautamäki:
GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. IEEE Trans. Games 15(4): 566-579 (2023) - [c23]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 - [c22]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 - [i28]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 abs/2301.10677 (2023) - [i27]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 abs/2303.13512 (2023) - [i26]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 abs/2312.02312 (2023) - [i25]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 abs/2312.02405 (2023) - 2022
- [j2]Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi:
Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. IEEE ACM Trans. Audio Speech Lang. Process. 30: 477-488 (2022) - [i24]Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi:
Optimizing Tandem Speaker Verification and Anti-Spoofing Systems. CoRR abs/2201.09709 (2022) - [i23]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 abs/2202.10583 (2022) - [i22]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 abs/2203.11889 (2022) - [i21]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 abs/2204.07123 (2022) - [i20]Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki:
GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. CoRR abs/2205.07060 (2022) - [i19]Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa:
A2C is a special case of PPO. CoRR abs/2205.09123 (2022) - 2021
- [j1]Antonin Raffin, Ashley Hill, Adam Gleave, Anssi Kanervisto, Maximilian Ernestus, Noah Dormann:
Stable-Baselines3: Reliable Reinforcement Learning Implementations. J. Mach. Learn. Res. 22: 268:1-268:8 (2021) - [c21]Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko:
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoG 2021: 1-5 - [c20]Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki:
Distilling Reinforcement Learning Tricks for Video Games. CoG 2021: 1-4 - [c19]Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki:
Multi-Task Learning With Attention for End-to-End Autonomous Driving. CVPR Workshops 2021: 2902-2911 - [c18]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: 13-28 - [c17]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. NeurIPS (Competition and Demos) 2021: 41-52 - [c16]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: 171-188 - [c15]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: 259-272 - [i18]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 abs/2104.00698 (2021) - [i17]Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki:
Multi-task Learning with Attention for End-to-end Autonomous Driving. CoRR abs/2104.10753 (2021) - [i16]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 abs/2106.03748 (2021) - [i15]Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki:
Distilling Reinforcement Learning Tricks for Video Games. CoRR abs/2107.00703 (2021) - [i14]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 abs/2107.01969 (2021) - [i13]Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko:
Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systems. CoRR abs/2107.02195 (2021) - 2020
- [c14]Anssi Kanervisto, Christian Scheller, Ville Hautamäki:
Action Space Shaping in Deep Reinforcement Learning. CoG 2020: 479-486 - [c13]Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki:
Benchmarking End-to-End Behavioural Cloning on Video Games. CoG 2020: 558-565 - [c12]Janne Karttunen, Anssi Kanervisto, Ville Kyrki, Ville Hautamäki:
From Video Game to Real Robot: The Transfer Between Action Spaces. ICASSP 2020: 3567-3571 - [c11]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: 233-252 - [c10]Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi:
An Initial Investigation on Optimizing Tandem Speaker Verification and Countermeasure Systems Using Reinforcement Learning. Odyssey 2020: 151-158 - [i12]Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi:
An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning. CoRR abs/2002.03801 (2020) - [i11]Anssi Kanervisto, Christian Scheller, Ville Hautamäki:
Action Space Shaping in Deep Reinforcement Learning. CoRR abs/2004.00980 (2020) - [i10]Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki:
Benchmarking End-to-End Behavioural Cloning on Video Games. CoRR abs/2004.00981 (2020) - [i9]Anssi Kanervisto, Janne Karttunen, Ville Hautamäki:
Playing Minecraft with Behavioural Cloning. CoRR abs/2005.03374 (2020) - [i8]Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki:
Policy Supervectors: General Characterization of Agents by their Behaviour. CoRR abs/2012.01244 (2020)
2010 – 2019
- 2019
- [c9]Anssi Kanervisto, Ville Hautamäki:
ToriLLE: Learning Environment for Hand-to-Hand Combat. CoG 2019: 1-8 - [c8]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: 5781-5785 - [c7]Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki:
Towards Debugging Deep Neural Networks by Generating Speech Utterances. INTERSPEECH 2019: 3213-3217 - [c6]Anssi Kanervisto, Janne Karttunen, Ville Hautamäki:
Playing Minecraft with Behavioural Cloning. NeurIPS (Competition and Demos) 2019: 56-66 - [i7]Janne Karttunen, Anssi Kanervisto, Ville Hautamäki, Ville Kyrki:
From Video Game to Real Robot: The Transfer between Action Spaces. CoRR abs/1905.00741 (2019) - [i6]Abraham Woubie, Anssi Kanervisto, Janne Karttunen, Ville Hautamäki:
Do Autonomous Agents Benefit from Hearing? CoRR abs/1905.04192 (2019) - [i5]Bilal Soomro, Anssi Kanervisto, Trung Ngo Trong, Ville Hautamäki:
Towards Debugging Deep Neural Networks by Generating Speech Utterances. CoRR abs/1907.03164 (2019) - 2018
- [c5]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: 211-216 - [c4]Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen:
Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification. Odyssey 2018: 320-326 - [i4]Rosa González Hautamäki, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen:
Perceptual Evaluation of the Effectiveness of Voice Disguise by Age Modification. CoRR abs/1804.08910 (2018) - [i3]Anssi Kanervisto, Ville Hautamäki:
ToriLLE: Learning Environment for Hand-to-Hand Combat. CoRR abs/1807.10110 (2018) - [i2]Ville Vestman, Bilal Soomro, Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen:
Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search. CoRR abs/1811.03293 (2018) - 2017
- [c3]Anssi Kanervisto, Ville Vestman, Md. Sahidullah, Ville Hautamäki, Tomi Kinnunen:
Effects of gender information in text-independent and text-dependent speaker verification. ICASSP 2017: 5360-5364 - [c2]Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, Alexander M. Rush:
Image-to-Markup Generation with Coarse-to-Fine Attention. ICML 2017: 980-989 - [c1]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:
The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016. INTERSPEECH 2017: 1328-1332 - 2016
- [i1]Yuntian Deng, Anssi Kanervisto, Alexander M. Rush:
What You Get Is What You See: A Visual Markup Decompiler. CoRR abs/1609.04938 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:11 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
