85 citations · 231 across the 11 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2022
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination
Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayahuitl
Learning robotic tasks in the real world is still highly challenging and effective practical solutions remain to be found. Traditional methods used in this area are imitation learn…
cs.LG2016★ 2 cited
Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning
Heriberto Cuayáhuitl, Guillaume Couly, Clément Olalainty
Training robots to perceive, act and communicate using multiple modalities still represents a challenging problem, particularly if robots are expected to learn efficiently from sma…