FIELD NOTES TOPIC
co-training
2 notes, newest first.
One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL
The paper discusses a common issue in multi-agent reinforcement learning (MARL) for human-AI interaction: relying on a single large language model to simulate user behavior often leads to poor generalization due to…
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Researchers have created two datasets called SearchGen-20K and SearchGen-Bench, containing 20,839 prompts across twelve failure categories and twenty-two domains to evaluate the performance of visual generators. They…
