| Multiagent cooperation and competition with deep reinforcement learning A Tampuu, T Matiisen, D Kodelja, I Kuzovkin, K Korjus, J Aru, J Aru, ... PloS one 12 (4), e0172395, 2017 | 326 | 2017 |
| Teacher-Student Curriculum Learning T Matiisen, A Oliver, T Cohen, J Schulman arXiv preprint arXiv:1707.00183, 2017 | 89 | 2017 |
| Demystifying Deep Reinforcement Learning T Matiisen Computational Neuroscience LAB, 2015 | 16 | 2015 |
| Efficient neural decoding of self-location with a deep recurrent network A Tampuu, T Matiisen, HF Ólafsdóttir, C Barry, R Vicente PLoS computational biology 15 (2), e1006822, 2019 | 7 | 2019 |
| Guest Post (Part I): Demystifying Deep Reinforcement Learning T Matiisen Online, 2015 | 6 | 2015 |
| Guest post (part i): Demystifying deep reinforcement learning-nervana T Matiisen Nervana.[Online]. Available: http://www. nervanasys. com/demystifying-deep …, 2015 | 5 | 2015 |
| A Survey of End-to-End Driving: Architectures and Training Methods A Tampuu, M Semikin, N Muhammad, D Fishman, T Matiisen arXiv preprint arXiv:2003.06404, 2020 | 4 | 2020 |
| Replicating deepmind starcraft ii reinforcement learning benchmark with actor-critic methods R Ring | 3 | 2018 |
| Do deep reinforcement learning agents model intentions? T Matiisen, A Labash, D Majoral, J Aru, R Vicente arXiv preprint arXiv:1805.06020, 2018 | 2 | 2018 |
| APES: a Python toolbox for simulating reinforcement learning environments A Labash, A Tampuu, T Matiisen, J Aru, R Vicente arXiv preprint arXiv:1808.10692, 2018 | 1 | 2018 |
| Perspective taking in deep reinforcement learning agents A Labash, J Aru, T Matiisen, A Tampuu, R Vicente Frontiers in Computational Neuroscience 14, 2020 | | 2020 |
| Learning DNA mutational signatures using neural networks RV Zafra, L Parts, T Matiisen, A Tampuu | | |
Ardi TampuuPhD student, Institute of Computer Science, University of TartuVerified email at ut.ee
