4 papers
Performance Evaluation of Social Learning
Felice Scala, Marco Carpentiero, Vincenzo Matta +1
Social Learning is a decentralized decision-making paradigm in which spatially dispersed agents collect streaming observations regulated by one of a finite number of models (the hy…
Opinion Consensus Formation Among Networked Large Language Models
Iris Yazici, Mert Kayaalp, Stefan Taga +1
Can classical consensus models predict the group behavior of large language models (LLMs)? We examine multi-round interactions among LLM agents through the DeGroot framework, where…
Policy Optimization in Multi-Agent Settings under Partially Observable Environments
Ainur Zhaikhan, Malek Khammassi, Ali H. Sayed
This work leverages adaptive social learning to estimate partially observable global states in multi-agent reinforcement learning (MARL) problems. Unlike existing methods, the prop…
Doubly Adaptive Social Learning
Marco Carpentiero, Virginia Bordignon, Vincenzo Matta +1
In social learning, a network of agents assigns probability scores (beliefs) to some hypotheses of interest, which rule the generation of local streaming data observed by each agen…