Artemij Amiranashvili
Artemij Amiranashvili
Zweryfikowany adres z cs.uni-freiburg.de
Cytowane przez
Cytowane przez
Motion Perception in Reinforcement Learning with Dynamic Objects
A Amiranashvili, A Dosovitskiy, V Koltun, T Brox
Conference on Robot Learning (CoRL), 2018
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
L Hermann, M Argus, A Eitel, A Amiranashvili, W Burgard, T Brox
IEEE International Conference on Robotics and Automation (ICRA), 2020
CrossNorm: On Normalization for Off-Policy Reinforcement Learning
A Bhatt, M Argus, A Amiranashvili, T Brox
TD or not TD: Analyzing the role of temporal differencing in deep reinforcement learning
A Amiranashvili, A Dosovitskiy, V Koltun, T Brox
International Conference on Learning Representations (ICLR), 2018
Scaling imitation learning in minecraft
A Amiranashvili, N Dorka, W Burgard, V Koltun, T Brox
arXiv preprint arXiv:2007.02701, 2020
Stochastic switching between multistable oscillation patterns of the Min-system
A Amiranashvili, ND Schnellbächer, US Schwarz
New Journal of Physics 18 (9), 093049, 2016
A benchmark and a baseline for robust multi-view depth estimation
P Schröppel, J Bechtold, A Amiranashvili, T Brox
2022 International Conference on 3D Vision (3DV), 637-645, 2022
Pre-training of deep rl agents for improved learning under domain randomization
A Amiranashvili, M Argus, L Hermann, W Burgard, T Brox
arXiv preprint arXiv:2104.14386, 2021
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
A Bhatt, D Palenicek, B Belousov, M Argus, A Amiranashvili, T Brox, ...
arXiv preprint arXiv:1902.05605, 2019
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