Do Rollups Self-Organize? Multi-Agent Reinforcement Learning in the EIP-4844 Blob Fee Market

Key points

• EIP-4844 gave Ethereum rollups a separate fee dimension for data, governed by a multiplicative update rule that targets three "blobs" per block.1
• Whether this target is reached depends on how many independent, self-interested rollups choose to post data, a question that closed-form models address only for a single agent under exogenous prices or in a static equilibrium.1
• After confirming that the environment reproduces the known single-agent analytical optimum, we show that independent learners, with no convergence guarantee, still settle near the target without coordination ($3.32\pm0.01$ blobs per block over five seeds).1
• Posting frequency increases with rollup size, an emergent analog of the size threshold predicted by prior theory.1

Sources (1)

• [1]Do Rollups Self-Organize? Multi-Agent Reinforcement Learning in the EIP-4844 Blob Fee Market
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 11, 12:58 AM

  We propose a calibrated multi-agent reinforcement learning environment for the blob fee market in which the blob base fee is endogenous, set by the EIP-4844 rule on the aggregated decisions of heterogeneous rollups fit to post-Dencun Ethereum data.

  EIP-4844 gave Ethereum rollups a separate fee dimension for data, governed by a multiplicative update rule that targets three "blobs" per block.

Extractive summary: sentences quoted from the sources.