158 citations · 383 across the 25 of their papers we have counts for
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stat.ML2019★ 5 cited
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics
Sebastian Riedel, Freek Stulp
Physical modeling of robotic system behavior is the foundation for controlling many robotic mechanisms to a satisfactory degree. Mechanisms are also typically designed in a way tha…
cs.LG2019★ 34 cited
Investigating Generalisation in Continuous Deep Reinforcement Learning
Chenyang Zhao, Olivier Sigaud, Freek Stulp +1
Deep Reinforcement Learning has shown great success in a variety of control tasks. However, it is unclear how close we are to the vision of putting Deep RL into practice to solve r…