713 citations · 1.8k across the 21 of their papers we have counts for
3 papers · 1 filter
Disentangled Planning and Control in Vision Based Robotics via Reward Machines
Alberto Camacho, Jacob Varley, Deepali Jain +2
In this work we augment a Deep Q-Learning agent with a Reward Machine (DQRM) to increase speed of learning vision-based policies for robot tasks, and overcome some of the limitatio…
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
Ted Xiao, Eric Jang, Dmitry Kalashnikov +4
We study reinforcement learning in settings where sampling an action from the policy must be done concurrently with the time evolution of the controlled system, such as when a robo…
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras
Iretiayo Akinola, Jacob Varley, Dmitry Kalashnikov
In this work, we present an effective multi-view approach to closed-loop end-to-end learning of precise manipulation tasks that are 3D in nature. Our method learns to accomplish th…