9 citations · 16 across the 4 of their papers we have counts for
4 papers
Learning predictive representations in autonomous driving to improve deep reinforcement learning
Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh +1
Reinforcement learning using a novel predictive representation is applied to autonomous driving to accomplish the task of driving between lane markings where substantial benefits i…
A Geometric Perspective on Visual Imitation Learning
Jun Jin, Laura Petrich, Masood Dehghan +1
We consider the problem of visual imitation learning without human supervision (e.g. kinesthetic teaching or teleoperation), nor access to an interactive reinforcement learning (RL…
Long range teleoperation for fine manipulation tasks under time-delay network conditions
Jun Jin, Laura Petrich, Shida He +2
We present a coarse-to-fine approach based semi-autonomous teleoperation system using vision guidance. The system is optimized for long range teleoperation tasks under time-delay n…
Evaluation of state representation methods in robot hand-eye coordination learning from demonstration
Jun Jin, Masood Dehghan, Laura Petrich +2
We evaluate different state representation methods in robot hand-eye coordination learning on different aspects. Regarding state dimension reduction: we evaluates how these state r…