1 citations · 1 across the 2 of their papers we have counts for
3 papers
Insights From the NeurIPS 2021 NetHack Challenge
Eric Hambro, Sharada Mohanty, Dmitrii Babaev +26
In this report, we summarize the takeaways from the first NeurIPS 2021 NetHack Challenge. Participants were tasked with developing a program or agent that can win (i.e., 'ascend' i…
Adaptation of Quadruped Robot Locomotion with Meta-Learning
Arsen Kuzhamuratov, Dmitry Sorokin, Alexander Ulanov +1
Animals have remarkable abilities to adapt locomotion to different terrains and tasks. However, robots trained by means of reinforcement learning are typically able to solve only a…
Interferobot: aligning an optical interferometer by a reinforcement learning agent
Dmitry Sorokin, Alexander Ulanov, Ekaterina Sazhina +1
Limitations in acquiring training data restrict potential applications of deep reinforcement learning (RL) methods to the training of real-world robots. Here we train an RL agent t…