Követés
Tambet Matiisen
Tambet Matiisen
PhD student, University of Tartu
E-mail megerősítve itt: ut.ee
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
9172017
Teacher-Student Curriculum Learning
T Matiisen, A Oliver, T Cohen, J Schulman
arXiv preprint arXiv:1707.00183, 2017
3972017
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
1892020
Demystifying Deep Reinforcement Learning
T Matiisen
Computational Neuroscience LAB, 2015
452015
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
402019
Perspective taking in deep reinforcement learning agents
A Labash, J Aru, T Matiisen, A Tampuu, R Vicente
Frontiers in Computational Neuroscience 14, 69, 2020
122020
Lidar-as-camera for end-to-end driving
A Tampuu, R Aidla, JA van Gent, T Matiisen
Sensors 23 (5), 2845, 2023
92023
Guest Post (Part I): Demystifying Deep Reinforcement Learning
T Matiisen
Online, 2015
92015
Do deep reinforcement learning agents model intentions?
T Matiisen, A Labash, D Majoral, J Aru, R Vicente
arXiv preprint arXiv:1805.06020, 2018
82018
Guest post (part i): Demystifying deep reinforcement learning-nervana
T Matiisen
Nervana.[Online]. Available: http://www. nervanasys. com/demystifying-deep …, 2015
62015
Replicating deepmind starcraft ii reinforcement learning benchmark with actor-critic methods
R Ring, T Matiisen
undergraduate thesis, 2017
42017
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
32018
Controlling steering with energy-based models
M Balesni, A Tampuu, T Matiisen
arXiv preprint arXiv:2301.12264, 2023
12023
Do Deep Reinforcement Learning Agents Model Intentions?
T Matiisen, A Labash, D Majoral, J Aru, R Vicente
Stats 6 (1), 50-66, 2022
2022
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
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–16