As various home robots come into homes, the need for efficient robot task management tools is arising. Current tools are designed for controlling individual robots independently, ...
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
To leave the maximum flexibility in encoder to optimize the trade-off between coding performance and complexity, in video coding standards such as H.264/AVC [1], H.263 [2] and MPE...
Xiangyang Ji, Debin Zhao, Wen Gao, Yan Lu, Siwei M...
Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...