no code implementations • 6 Jul 2023 • Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris
Our framework makes two specific contributions.
no code implementations • 21 Mar 2022 • Eric Rosen, Sreehari Rammohan, Devesh Jha
Mixed Reality (MR) has recently shown great success as an intuitive interface for enabling end-users to teach robots.
no code implementations • 20 Mar 2022 • Bowen He, Sreehari Rammohan, Jessica Forde, Michael Littman
In this work, we study two self-play training schemes, Chainer and Pool, and show they lead to improved agent performance in Atari Pong compared to a standard DQN agent -- trained against the built-in Atari opponent.
no code implementations • 20 Mar 2022 • Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng, George Konidaris
Animals such as rabbits and birds can instantly generate locomotion behavior in reaction to a dynamic, approaching object, such as a person or a rock, despite having possibly never seen the object before and having limited perception of the object's properties.
no code implementations • 28 Jul 2021 • Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris
Learning continuous control in high-dimensional sparse reward settings, such as robotic manipulation, is a challenging problem due to the number of samples often required to obtain accurate optimal value and policy estimates.