CoMAP: Co-Evolving World Models and Agent Policies for LLM Agents
The episode discusses CoMAP, a framework for LLM agents that co-evolve world models and agent policies. The system uses a closed-loop interaction where an agent's actions generate data that refines its plan. This allows the agent to anticipate consequences, leading to significant performance gains over static methods.