Reinforcement Learning (RL) agents trained in simulated environments and...
Benchmarking is crucial for testing and validating any system, even more...
Analytical database systems are typically designed to use a column-first...
Actors and critics in actor-critic reinforcement learning algorithms are...
We focus on the problem of reliably training Reinforcement Learning (RL)...
A critical problem with the practical utility of controllers trained wit...
Clouds inherit CPU scheduling policies of operating systems. These polic...
The vast majority of high-performance embedded systems implement multi-l...
Real-time and cyber-physical systems need to interact with and respond t...
Little innovation has been made to low-level attitude flight control use...
One of the primary sources of unpredictability in modern multi-core embe...
Autopilot systems are typically composed of an "inner loop" providing
st...
Poor timing predictability of multicore processors has been a long-stand...
Poor timing predictability of multicore processors has been a long-stand...