| Stable-baselines3: Reliable reinforcement learning implementations A Raffin, A Hill, A Gleave, A Kanervisto, M Ernestus, N Dormann Journal of Machine Learning Research 22 (268), 1-8, 2021 | 3606* | 2021 |
| Image-to-markup generation with coarse-to-fine attention Y Deng, A Kanervisto, J Ling, AM Rush ICML 2017, 2017 | 360* | 2017 |
| Imitating human behaviour with diffusion models T Pearce, T Rashid, A Kanervisto, D Bignell, M Sun, R Georgescu, ... arXiv preprint arXiv:2301.10677, 2023 | 172 | 2023 |
| Action Space Shaping in Deep Reinforcement Learning A Kanervisto, C Scheller, V Hautamäki IEEE Conference on Games 2020, 2020 | 124 | 2020 |
| The 37 implementation details of proximal policy optimization S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang The ICLR Blog Track 2023, 2022 | 117 | 2022 |
| 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 | 77 | 2021 |
| Benchmarking End-to-End Behavioural Cloning on Video Games A Kanervisto, J Pussinen, V Hautamäki IEEE Conference on Games 2020, 2020 | 29 | 2020 |
| 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 | 28 | 2022 |
| A2C is a special case of PPO S Huang, A Kanervisto, A Raffin, W Wang, S Ontañón, RFJ Dossa arXiv preprint arXiv:2205.09123, 2022 | 26 | 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 | 26 | 2021 |
| The I4U mega fusion and collaboration for NIST speaker recognition evaluation 2016 KA Lee, V Hautamäki, T Kinnunen, A Larcher, C Zhang, A Nautsch, ... Interspeech, 1328-1332, 2017 | 26 | 2017 |
| 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 | 25 | 2017 |
| Insights from the neurips 2021 nethack challenge E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ... NeurIPS 2021 Competitions and Demonstrations Track, 41-52, 2022 | 23 | 2022 |
| 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 | 21 | 2021 |
| Playing Minecraft with Behavioural Cloning A Kanervisto, J Karttunen, V Hautamäki NeurIPS 2019 Post Proceedings of the Competitions & Demonstrations Track, 2020 | 17 | 2020 |
| Towards solving fuzzy tasks with human feedback: A retrospective of the minerl basalt 2022 competition S Milani, A Kanervisto, K Ramanauskas, S Schulhoff, B Houghton, ... arXiv preprint arXiv:2303.13512, 2023 | 14 | 2023 |
| 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 | 14 | 2021 |
| From Video Game to Real Robot: The Transfer between Action Spaces J Karttunen, A Kanervisto, V Hautamäki, V Kyrki ICASSP 2020, 2019 | 13 | 2019 |
| Diffusion for World Modeling: Visual Details Matter in Atari E Alonso, A Jelley, V Micheli, A Kanervisto, A Storkey, T Pearce, F Fleuret arXiv preprint arXiv:2405.12399, 2024 | 12 | 2024 |
| Gan-aimbots: Using machine learning for cheating in first person shooters A Kanervisto, T Kinnunen, V Hautamäki IEEE Transactions on Games 15 (4), 566-579, 2022 | 12 | 2022 |
Antonin RaffinDLRVerified email at dlr.de
