382 citations · 666 across the 86 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning using Guided Observability
Stephan Weigand, Pascal Klink, Jan Peters +1
Due to recent breakthroughs, reinforcement learning (RL) has demonstrated impressive performance in challenging sequential decision-making problems. However, an open question is ho…
Neural Network Controller for Autonomous Pile Loading Revised
Wenyan Yang, Nataliya Strokina, Nikolay Serbenyuk +5
We have recently proposed two pile loading controllers that learn from human demonstrations: a neural network (NNet) [1] and a random forest (RF) controller [2]. In the field exper…
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Pascal Klink, Hany Abdulsamad, Boris Belousov +3
Across machine learning, the use of curricula has shown strong empirical potential to improve learning from data by avoiding local optima of training objectives. For reinforcement…