We hope to build an system that is lightweight, customizable, and that is caplable of social-reasoning and expecting what the other agent should be doing through the lens of advesarial collaboration. We are building a generalize agent model for every single agent in this environment and hopefully moving a step closer to level-one agent.
Level-1 Agent Concept (borrowed from Prof Zhiting Hu from UCSD HDSI) (Cover page image borrowed in courtesy of Prof Sichun Gao from UCSD CSE.)
Check out our unpublished manuscript of RPLH: A Lightweight Agent-Based System For Multi-Collaboration Under Adversarial Settings.
System Documentation