4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.RO2024
Learning to Play Foosball: System and Baselines
Janosch Moos, Cedric Derstroff, Niklas Schröder +1
This work stages Foosball as a versatile platform for advancing scientific research, particularly in the realm of robot learning. We present an automated Foosball table along with…
cs.LG2019★ 4 cited
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints
Michael Lutter, Boris Belousov, Kim Listmann +2
Learning optimal feedback control laws capable of executing optimal trajectories is essential for many robotic applications. Such policies can be learned using reinforcement learni…