Tambet Matiisen
Title
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Cited by
Year
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
3262017
Teacher-Student Curriculum Learning
T Matiisen, A Oliver, T Cohen, J Schulman
arXiv preprint arXiv:1707.00183, 2017
892017
Demystifying Deep Reinforcement Learning
T Matiisen
Computational Neuroscience LAB, 2015
162015
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
72019
Guest Post (Part I): Demystifying Deep Reinforcement Learning
T Matiisen
Online, 2015
62015
Guest post (part i): Demystifying deep reinforcement learning-nervana
T Matiisen
Nervana.[Online]. Available: http://www. nervanasys. com/demystifying-deep …, 2015
52015
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
42020
Replicating deepmind starcraft ii reinforcement learning benchmark with actor-critic methods
R Ring
32018
Do deep reinforcement learning agents model intentions?
T Matiisen, A Labash, D Majoral, J Aru, R Vicente
arXiv preprint arXiv:1805.06020, 2018
22018
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
12018
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
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Articles 1–12