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 | 367 | 2017 |
Teacher-Student Curriculum Learning T Matiisen, A Oliver, T Cohen, J Schulman arXiv preprint arXiv:1707.00183, 2017 | 123 | 2017 |
Demystifying Deep Reinforcement Learning T Matiisen Computational Neuroscience LAB, 2015 | 19 | 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 | 13 | 2019 |
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, 2020 | 8 | 2020 |
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 |
Do deep reinforcement learning agents model intentions? T Matiisen, A Labash, D Majoral, J Aru, R Vicente arXiv preprint arXiv:1805.06020, 2018 | 4 | 2018 |
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 | 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 |
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 | | |