Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers. (arXiv:2210.02317v1 [cs.RO])

Real-time learning is crucial for robotic agents adapting to ever-changing,
non-stationary environments. A common setup for a robotic agent is to have two
different computers simultaneously: a resource-limited local computer tethered
to the robot and a powerful remote computer connected wirelessly. Given such a
setup, it is unclear to what extent the performance of a learning system can be
affected by resource limitations and how to efficiently use the wirelessly
connected powerful computer to compensate for any performance loss. In …

arxiv computers real-time reinforcement reinforcement learning remote robotics vision