Artemij Amiranashvili

According to our database, Artemij Amiranashvili authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.

Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

A Benchmark and a Baseline for Robust Multi-view Depth Estimation.

Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox

Proceedings of the International Conference on 3D Vision, 2022

2021

Pre-training of Deep RL Agents for Improved Learning under Domain Randomization.

Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox

CoRR, 2021

2020

Scaling Imitation Learning in Minecraft.

Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox

CoRR, 2020

Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control.

Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2018

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning.

Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox

Proceedings of the 6th International Conference on Learning Representations, 2018

Motion Perception in Reinforcement Learning with Dynamic Objects.

Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox

Proceedings of the 2nd Annual Conference on Robot Learning, 2018