134 citations · 419 across the 67 of their papers we have counts for
5 papers · 1 filter
A Game-Theoretic Framework for Controlled Islanding in the Presence of Adversaries
Luyao Niu, Dinuka Sahabandu, Andrew Clark +1
Controlled islanding effectively mitigates cascading failures by partitioning the power system into a set of disjoint islands. In this paper, we study the controlled islanding prob…
Reinforcement Learning Beyond Expectation
Bhaskar Ramasubramanian, Luyao Niu, Andrew Clark +1
The inputs and preferences of human users are important considerations in situations where these users interact with autonomous cyber or cyber-physical systems. In these scenarios,…
Shaping Advice in Deep Multi-Agent Reinforcement Learning
Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran
Multi-agent reinforcement learning involves multiple agents interacting with each other and a shared environment to complete tasks. When rewards provided by the environment are spa…
Scalable Planning in Multi-Agent MDPs
Dinuka Sahabandu, Luyao Niu, Andrew Clark +1
Multi-agent Markov Decision Processes (MMDPs) arise in a variety of applications including target tracking, control of multi-robot swarms, and multiplayer games. A key challenge in…
Adaptive Learning in Two-Player Stackelberg Games with Application to Network Security
Guosong Yang, Radha Poovendran, João P. Hespanha
We study a two-player Stackelberg game with incomplete information such that the follower's strategy belongs to a known family of parameterized functions with an unknown parameter…