Multiagent Cooperation and Competition with Deep Reinforcement Learning. - Ardi Tampuu; Tambet Matiisen; Dorian Kodelja; Ilya Kuzovkin; Kristjan Korjus; Juhan Aru; Jaan Aru; Raul Vicente (CoRR, 2015)

Machine Learning for detection of viral sequences in human metagenomic datasets. - Zurab Bzhalava; Ardi Tampuu; Piotr Bala; Raul Vicente; Joakim Dillner (BMC Bioinform., 2018)

APES: a Python toolbox for simulating reinforcement learning environments. - Aqeel Labash; Ardi Tampuu; Tambet Matiisen; Jaan Aru; Raul Vicente (CoRR, 2018)

Efficient neural decoding of self-location with a deep recurrent network. - Ardi Tampuu; Tambet Matiisen; H. Freyja Ólafsdóttir; Caswell Barry; Raul Vicente (PLoS Comput. Biol., 2019)

Perspective Taking in Deep Reinforcement Learning Agents. - Aqeel Labash; Jaan Aru; Tambet Matiisen; Ardi Tampuu; Raul Vicente (Frontiers Comput. Neurosci., 2020)

A Survey of End-to-End Driving: Architectures and Training Methods. - Ardi Tampuu; Tambet Matiisen; Maksym Semikin; Dmytro Fishman; Muhammad Naveed 003 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Controlling Steering with Energy-Based Models. - Mykyta Baliesnyi; Ardi Tampuu; Tambet Matiisen (CoRR, 2023)

Combating the effects of speed and delays in end-to-end self-driving. - Ardi Tampuu; Ilmar Uduste; Kristjan Roosild (CoRR, 2023)

LiDAR-as-Camera for End-to-End Driving. - Ardi Tampuu; Romet Aidla; Jan Aare van Gent; Tambet Matiisen (Sensors, 2023)

The Effects of Speed and Delays on Test-Time Performance of End-to-End Self-Driving. - Ardi Tampuu; Kristjan Roosild; Ilmar Uduste (Sensors, 2024)