1 code implementation • 9 Jul 2021 • Stepan Makarenko, Dmitry Sorokin, Alexander Ulanov, A. I. Lvovsky
Reinforcement learning is finding its way to real-world problem application, transferring from simulated environments to physical setups.
no code implementations • 8 Jul 2021 • Arsen Kuzhamuratov, Dmitry Sorokin, Alexander Ulanov, A. I. Lvovsky
Animals have remarkable abilities to adapt locomotion to different terrains and tasks.
1 code implementation • NeurIPS 2020 • Dmitry Sorokin, Alexander Ulanov, Ekaterina Sazhina, Alexander Lvovsky
Limitations in acquiring training data restrict potential applications of deep reinforcement learning (RL) methods to the training of real-world robots.
no code implementations • 20 Oct 2016 • Alexander Ulanov, Andrey Simanovsky, Manish Marwah
It is implemented in a distributed fashion in order to address these scalability issues.