Stable baselines A Hill, A Raffin, M Ernestus, A Gleave, A Kanervisto, R Traore, P Dhariwal, ... | 755 | 2018 |
Stable-baselines3: Reliable reinforcement learning implementations A Raffin, A Hill, A Gleave, A Kanervisto, M Ernestus, N Dormann The Journal of Machine Learning Research 22 (1), 12348-12355, 2021 | 578 | 2021 |
Stable baselines3 A Raffin, A Hill, M Ernestus, A Gleave, A Kanervisto, N Dormann | 305 | 2019 |
Image-to-markup generation with coarse-to-fine attention Y Deng, A Kanervisto, J Ling, AM Rush ICML 2017, 2017 | 255* | 2017 |
Action Space Shaping in Deep Reinforcement Learning A Kanervisto, C Scheller, V Hautamäki IEEE Conference on Games 2020, 2020 | 50 | 2020 |
Multi-task Learning with Attention for End-to-end Autonomous Driving K Ishihara, A Kanervisto, J Miura, V Hautamäki CVPR 2021 Workshop on Autonomous Driving, 2021 | 25 | 2021 |
The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016 KA Lee, V Hautamaki, A Larcher, C Zhang, A Nautsch, T Stafylakis, G Liu, ... Interspeech 2017, 2017 | 25 | 2017 |
The 37 implementation details of proximal policy optimization S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang The ICLR Blog Track 2023, 2022 | 22 | 2022 |
The MineRL BASALT competition on learning from human feedback R Shah, C Wild, SH Wang, N Alex, B Houghton, W Guss, S Mohanty, ... arXiv preprint arXiv:2107.01969, 2021 | 18 | 2021 |
Stable baselines3 (2019) A Raffin, A Hill, M Ernestus, A Gleave, A Kanervisto, N Dormann URL https://github. com/DLR-RM/stable-baselines3, 0 | 18 | |
Effects of gender information in text-independent and text-dependent speaker verification A Kanervisto, V Vestman, M Sahidullah, V Hautamäki, T Kinnunen ICASSP 2017, 2017 | 17 | 2017 |
Benchmarking End-to-End Behavioural Cloning on Video Games A Kanervisto, J Pussinen, V Hautamäki IEEE Conference on Games 2020, 2020 | 14 | 2020 |
Optimizing tandem speaker verification and anti-spoofing systems A Kanervisto, V Hautamäki, T Kinnunen, J Yamagishi IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 477-488, 2021 | 13 | 2021 |
Imitating human behaviour with diffusion models T Pearce, T Rashid, A Kanervisto, D Bignell, M Sun, R Georgescu, ... arXiv preprint arXiv:2301.10677, 2023 | 12 | 2023 |
Minerl diamond 2021 competition: Overview, results, and lessons learned A Kanervisto, S Milani, K Ramanauskas, N Topin, Z Lin, J Li, J Shi, D Ye, ... NeurIPS 2021 Competitions and Demonstrations Track, 13-28, 2022 | 10 | 2022 |
Playing Minecraft with Behavioural Cloning A Kanervisto, J Karttunen, V Hautamäki NeurIPS 2019 Post Proceedings of the Competitions & Demonstrations Track, 2020 | 9 | 2020 |
From Video Game to Real Robot: The Transfer between Action Spaces J Karttunen, A Kanervisto, V Hautamäki, V Kyrki ICASSP 2020, 2019 | 9 | 2019 |
Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020 WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... NeurIPS 2020 Competition and Demonstration Track, 233-252, 2021 | 8 | 2021 |
Do autonomous agents benefit from hearing? A Woubie, A Kanervisto, J Karttunen, V Hautamaki arXiv preprint arXiv:1905.04192, 2019 | 8 | 2019 |
Who Do I Sound Like? Showcasing Speaker Recognition Technology by YouTube Voice Search V Vestman, B Soomro, A Kanervisto, V Hautamäki, T Kinnunen ICASSP 2019, 2018 | 8 | 2018 |