4 papers
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Yixiao Wang, Yifei Zhang, Mingxiao Huo +8
The increasing complexity of tasks in robotics demands efficient strategies for multitask and continual learning. Traditional models typically rely on a universal policy for all ta…
Neuroscheduling for Remote Estimation
Marcos M. Vasconcelos, Yifei Zhang
Many modern distributed systems consist of devices that generate more data than what can be transmitted via a communication link in near real time with high-fidelity. We consider t…
On the role of network structure in learning to coordinate with bounded rationality
Yifei Zhang, Marcos M. Vasconcelos
Many socioeconomic phenomena, such as technology adoption, collaborative problem-solving, and content engagement, involve a collection of agents coordinating to take a common actio…
Rationality and connectivity in stochastic learning for networked coordination games
Yifei Zhang, Marcos M. Vasconcelos
Coordination is a desirable feature in many multi-agent systems such as robotic and socioeconomic networks. We consider a task allocation problem as a binary networked coordination…