2 papers
cs.MA2020
Learning Complex Multi-Agent Policies in Presence of an Adversary
Siddharth Ghiya, Katia Sycara
In recent years, there has been some outstanding work on applying deep reinforcement learning to multi-agent settings. Often in such multi-agent scenarios, adversaries can be prese…
cs.MA2019
Agent Probing Interaction Policies
Siddharth Ghiya, Oluwafemi Azeez, Brendan Miller
Reinforcement learning in a multi agent system is difficult because these systems are inherently non-stationary in nature. In such a case, identifying the type of the opposite agen…