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ORCIDArtem Molchanov
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2020 – today
- 2023
[i11]Anton Kolonin, Andrey Kurpatov, Artem Molchanov, Gennadiy Averyanov:
Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian). CoRR abs/2302.09377 (2023)- [i10]Zhehui Huang, Sumeet Batra, Tao Chen, Rahul Krupani, Tushar Kumar, Artem Molchanov, Aleksei Petrenko, James A. Preiss, Zhaojing Yang, Gaurav S. Sukhatme:
QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control. CoRR abs/2306.09537 (2023) - 2022
- [c10]Evgenii Vityaev
, Anton Kolonin, Andrey Kurpatov, Artem Molchanov:
Brain Principles Programming. AGI 2022: 424-433 - [c9]Anton Kolonin, Andrey Kurpatov, Artem Molchanov, Gennadiy Averyanov:
Cognitive Architecture for Decision-Making Based on Brain Principles Programming. BICA*AI 2022: 180-189 - [c8]Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy:
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. ICRA 2022: 8936-8942 - [i9]Evgenii Vityaev, Anton Kolonin, Artem Molchanov:
Brain Principles Programming. CoRR abs/2202.12710 (2022) - [i8]Anton Kolonin, Andrey Kurpatov, Artem Molchanov:
Cognitive Architecture for Decision-Making Based on Brain Principles Programming. CoRR abs/2204.07919 (2022) - 2021
- [c7]Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme:
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRL 2021: 576-586 - [i7]Sumeet Batra, Zhehui Huang, Aleksei Petrenko, Tushar Kumar, Artem Molchanov, Gaurav S. Sukhatme:
Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning. CoRR abs/2109.07735 (2021) - [i6]Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nistér, Nikolai Smolyanskiy:
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation. CoRR abs/2109.11094 (2021) - 2020
- [c6]Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav S. Sukhatme, Franziska Meier:
Meta Learning via Learned Loss. ICPR 2020: 4161-4168
2010 – 2019
- 2019
- [c5]Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme:
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. IROS 2019: 59-66 - [i5]Artem Molchanov, Tao Chen, Wolfgang Hönig, James A. Preiss, Nora Ayanian, Gaurav S. Sukhatme:
Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. CoRR abs/1903.04628 (2019) - [i4]Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme:
Meta-Learning via Learned Loss. CoRR abs/1906.05374 (2019) - [i3]Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala:
Generalized Inner Loop Meta-Learning. CoRR abs/1910.01727 (2019) - 2018
- [c4]Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield:
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. ICRA 2018: 1-5 - [i2]Jonathan Tremblay, Thang To, Artem Molchanov, Stephen Tyree, Jan Kautz, Stan Birchfield:
Synthetically Trained Neural Networks for Learning Human-Readable Plans from Real-World Demonstrations. CoRR abs/1805.07054 (2018) - [i1]Artem Molchanov, Karol Hausman, Stan Birchfield, Gaurav S. Sukhatme:
Region Growing Curriculum Generation for Reinforcement Learning. CoRR abs/1807.01425 (2018) - 2016
- [j1]Supreeth Subbaraya, Andreas Breitenmoser, Artem Molchanov, Jörg Müller, Carl Oberg, David A. Caron, Gaurav S. Sukhatme:
Circling the Seas: Design of Lagrangian Drifters for Ocean Monitoring. IEEE Robotics Autom. Mag. 23(4): 42-53 (2016) - [c3]Artem Molchanov, Oliver Kroemer, Zhe Su, Gaurav S. Sukhatme:
Contact localization on grasped objects using tactile sensing. IROS 2016: 216-222 - 2015
- [c2]Zhe Su, Karol Hausman, Yevgen Chebotar, Artem Molchanov, Gerald E. Loeb, Gaurav S. Sukhatme, Stefan Schaal:
Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor. Humanoids 2015: 297-303 - [c1]Artem Molchanov, Andreas Breitenmoser, Gaurav S. Sukhatme:
Active drifters: Towards a practical multi-robot system for ocean monitoring. ICRA 2015: 545-552
Coauthor Index
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