Baraah Sidahmed – Game-Aware Optimization for Multi-Agent Reinforcement Learning

Speaker Bio

A phD candidate at the relational ML group at the CISPA Helmholtz center for information technology. Previously worked on optimizing multi-agent reinforcement learning using ideas from game theory. currently working on a general framework that enables a wide range of agents—from simple nodes to complex models—to interact efficiently.See you there!