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Notes on co-training
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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…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
