Abstract: This paper presents and proves the correctness of a modified Dijkstra's algorithm that computes the shortest-delay path in networks with deterministically time-varying links. Examples of ...

Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...

Jeremiah Blocki, [email protected]: Monday @ 3:30 PM. GHC 7th floor lounge. Students can email me if they want to meet at a different time. Anvesh Komuravelli, [email protected]: Friday @ 4 ...

The current leader is team Mindrake who took the top two spots with their CanaryVanillaPatch and CanaryVanilla approaches, followed by team ja^3 with their Manual Agent approach. The validated scores ...

For two decades, the telecommunications industry has operated on a familiar premise: Build the pipe, push the data and scale the infrastructure. My previous writings explored how the convergence of ...

A similar principle underlies the Kevin Bacon game, which has the aim of connecting an arbitrarily chosen movie actor with the actor Kevin Bacon by the shortest sequence of actor-pairs who have ...

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

FlashSAC is a fast and stable off-policy reinforcement learning algorithm that achieves the highest asymptotic performance in the shortest wall-clock time for high-dimensional robotic control. This ...