no code implementations • 8 Mar 2023 • Mrinal Verghese, Chris Atkeson
Tasks where the set of possible actions depend discontinuously on the state pose a significant challenge for current reinforcement learning algorithms.
no code implementations • 7 Dec 2020 • Sebastian Höfer, Kostas Bekris, Ankur Handa, Juan Camilo Gamboa, Florian Golemo, Melissa Mozifian, Chris Atkeson, Dieter Fox, Ken Goldberg, John Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
This report presents the debates, posters, and discussions of the Sim2Real workshop held in conjunction with the 2020 edition of the "Robotics: Science and System" conference.
no code implementations • NeurIPS 2007 • Chris Atkeson, Benjamin Stephens
We combine two threads of research on approximate dynamic programming: random sampling of states and using local trajectory optimizers to globally optimize a policy and associated value function.