1 citations · 1 across the 4 of their papers we have counts for
5 papers
Distributed Invariant Kalman Filter for Object-level Multi-robot Pose SLAM
Haoying Li, Qingcheng Zeng, Haoran Li +2
Cooperative localization and target tracking are essential for multi-robot systems to implement high-level tasks. To this end, we propose a distributed invariant Kalman filter base…
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game
Guangzheng Hu, Yuanheng Zhu, Haoran Li +1
Many real-world applications involve some agents that fall into two teams, with payoffs that are equal within the same team but of opposite sign across the opponent team. The so-ca…
General Method for Solving Four Types of SAT Problems
Anqi Li, Congying Han, Tiande Guo +2
Existing methods provide varying algorithms for different types of Boolean satisfiability problems (SAT), lacking a general solution framework. Accordingly, this study proposes a u…
Policy Optimization of Finite-Horizon Kalman Filter with Unknown Noise Covariance
Haoran Li, Yuan-Hua Ni
This paper is on learning the Kalman gain by policy optimization method. Firstly, we reformulate the finite-horizon Kalman filter as a policy optimization problem of the dual syste…
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks
Fei Sun, Minghai Qin, Tianyun Zhang +6
Deep neural networks (DNNs) have been proven to be effective in solving many real-life problems, but its high computation cost prohibits those models from being deployed to edge de…