2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.RO2020★ 2 cited
An analytical diabolo model for robotic learning and control
Felix von Drigalski, Devwrat Joshi, Takayuki Murooka +3
In this paper, we present a diabolo model that can be used for training agents in simulation to play diabolo, as well as running it on a real dual robot arm system. We first derive…
cs.LG2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya
Transfer reinforcement learning (RL) aims at improving the learning efficiency of an agent by exploiting knowledge from other source agents trained on relevant tasks. However, it r…