13 citations · 38 across the 16 of their papers we have counts for
3 papers · 1 filter
Optimization over time-varying networks with unbounded delays
Arunselvan Ramaswamy, Adrian Redder, Daniel E. Quevedo
Solving optimization problems in multi-agent systems (MAS) involves information exchange between agents. These solutions must be robust to delays and errors that arise from an unre…
Deep reinforcement learning for scheduling in large-scale networked control systems
Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo
This work considers the problem of control and resource scheduling in networked systems. We present DIRA, a Deep reinforcement learning based Iterative Resource Allocation algorith…
DSPG: Decentralized Simultaneous Perturbations Gradient Descent Scheme
Arunselvan Ramaswamy
Distributed descent-based methods are an essential toolset to solving optimization problems in multi-agent system scenarios. Here the agents seek to optimize a global objective fun…