Algorithms to Handle Signal Delay in Deep Reinforcement Learning aims to address the problem of signal delay in continuous robotic control. Signal delay occurs when there is a lag between an agent’s perception of the…
In this issue of Research Focus: Optimized exit-augmented models for scalable efficient inference; NeurIPS LLM Efficiency Challenge; LLM-empowered automated data exploration; Boosting cloud efficiency with data-driven decision-making and optimization.