Learning to Play Foosball: System and Baselines

1 code implementation • 23 Jul 2024 • Janosch Moos, Cedric Derstroff, Niklas Schröder, Debora Clever

In this concern, we spotlight the automated Foosball table as an invaluable tool, possessing numerous desirable attributes, to serve as a demanding learning environment for advancing robotics and automation research.

HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints

no code implementations • 13 Sep 2019 • Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters

The corresponding optimal value function is learned end-to-end by embedding a deep differential network in the Hamilton-Jacobi-Bellmann differential equation and minimizing the error of this equality while simultaneously decreasing the discounting from short- to far-sighted to enable the learning.

reinforcement-learning Reinforcement Learning +1