| 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 | 1064 | 2017 |
| Teacher-Student Curriculum Learning T Matiisen, A Oliver, T Cohen, J Schulman arXiv preprint arXiv:1707.00183, 2017 | 457 | 2017 |
| A survey of end-to-end driving: Architectures and training methods A Tampuu, T Matiisen, M Semikin, D Fishman, N Muhammad IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1364-1384, 2020 | 261 | 2020 |
| Demystifying Deep Reinforcement Learning T Matiisen Computational Neuroscience LAB, 2015 | 47 | 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 | 43 | 2019 |
| Lidar-as-camera for end-to-end driving A Tampuu, R Aidla, JA van Gent, T Matiisen Sensors 23 (5), 2845, 2023 | 16 | 2023 |
| Perspective taking in deep reinforcement learning agents A Labash, J Aru, T Matiisen, A Tampuu, R Vicente Frontiers in Computational Neuroscience 14, 69, 2020 | 13 | 2020 |
| Guest Post (Part I): Demystifying Deep Reinforcement Learning T Matiisen Online, 2015 | 10 | 2015 |
| Do deep reinforcement learning agents model intentions? T Matiisen, A Labash, D Majoral, J Aru, R Vicente arXiv preprint arXiv:1805.06020, 2018 | 8 | 2018 |
| Guest post (part i): Demystifying deep reinforcement learning-nervana T Matiisen Nervana.[Online]. Available: http://www. nervanasys. com/demystifying-deep …, 2015 | 7 | 2015 |
| Replicating deepmind starcraft ii reinforcement learning benchmark with actor-critic methods R Ring, T Matiisen undergraduate thesis, 2017 | 4 | 2017 |
| 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 | 3 | 2018 |
| Controlling Steering with Energy-Based Models M Balesni, A Tampuu, T Matiisen arXiv preprint arXiv:2301.12264, 2023 | 2 | 2023 |
| Do Deep Reinforcement Learning Agents Model Intentions? T Matiisen, A Labash, D Majoral, J Aru, R Vicente Stats 6 (1), 50-66, 2022 | 1 | 2022 |
| Scenario Driven Development for Open Source Autonomous Driving Stack M Gulzar, T Matiisen, N Muhammad 2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024 | | 2024 |
| Simulations for Training Machine Learning Models for Autonomous Vehicles RH Tunnel, T Matiisen | | |
| Learning DNA mutational signatures using neural networks RV Zafra, L Parts, T Matiisen, A Tampuu | | |
Ardi TampuuPhD, Institute of Computer Science, University of TartuEmail verificata su ut.ee
