Firehose

This paper proposes a new framework for search agents in reinforcement learning, called Harness-G, which addresses a problem called retrieval-equivalence collapse where the same query string can be generated multiple times but the retrieved information becomes increasingly similar. This can make it difficult for the agent to learn effective retrieval strategies.