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A2C is a special case of PPO


May 18, 2022
Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa


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


May 14, 2022
Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki

* Accepted to IEEE Transactions on Games. Source code available at https://github.com/miffyli/gan-aimbots 

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Retrospective on the 2021 BASALT Competition on Learning from Human Feedback


Apr 14, 2022
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Chan Jun Shern, Daniel del Castillo, Tom Lieberum

* Accepted to the PMLR NeurIPS 2021 Demo & Competition Track volume 

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Insights From the NeurIPS 2021 NetHack Challenge


Mar 22, 2022
Eric Hambro, Sharada 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, Michał Sypetkowski

* Under review at PMLR for the NeuRIPS 2021 Competition Workshop Track, 10 pages + 10 in appendices 

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


Feb 17, 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

* Under review for PMLR volume on NeurIPS 2021 competitions 

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Optimizing Tandem Speaker Verification and Anti-Spoofing Systems


Jan 24, 2022
Anssi Kanervisto, Ville Hautamäki, Tomi Kinnunen, Junichi Yamagishi

* in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 30, pp. 477-488, 2022 
* Published in IEEE/ACM Transactions on Audio, Speech, and Language Processing. Published version available at: https://ieeexplore.ieee.org/document/9664367 

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


Jul 05, 2021
Shashank Hegde, Anssi Kanervisto, Aleksei Petrenko

* To appear in IEEE Conference on Games 2021. Video demonstrations and experiment can be found at https://sites.google.com/view/sound-rl 

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The MineRL BASALT Competition on Learning from Human Feedback


Jul 05, 2021
Rohin Shah, Cody Wild, Steven H. Wang, Neel Alex, Brandon Houghton, William Guss, Sharada Mohanty, Anssi Kanervisto, Stephanie Milani, Nicholay Topin, Pieter Abbeel, Stuart Russell, Anca Dragan

* NeurIPS 2021 Competition Track 

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Distilling Reinforcement Learning Tricks for Video Games


Jul 01, 2021
Anssi Kanervisto, Christian Scheller, Yanick Schraner, Ville Hautamäki

* To appear in IEEE Conference on Games 2021. Experiment code is available at https://github.com/Miffyli/rl-human-prior-tricks 

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Towards robust and domain agnostic reinforcement learning competitions


Jun 07, 2021
William Hebgen Guss, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada Mohanty, Andrew Melnik, Augustin Harter, Benoit Buschmaas, Bjarne Jaster, Christoph Berganski, Dennis Heitkamp, Marko Henning, Helge 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

* 20 pages, several figures, published PMLR 

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