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Seijin Kobayashi

20 papers hereh-index 11766 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author15

Across the 18 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.AI3

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedLearning where to learn: Gradient sparsity in meta and continual learning

24 citations · 54 across the 17 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

A game theory for foundation models shows new paths to rational cooperation through similarity inference

Alexander Meulemans, Maciej Wołczyk, Marissa A. Weis +11

As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, understanding the principles governing their collective behavior is…

cs.AI2025★ 1 cited

Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning

Alexander Meulemans, Rajai Nasser, Maciej Wołczyk +10

The standard theory of model-free reinforcement learning assumes that the environment dynamics are stationary and that agents are decoupled from their environment, such that polici…

cs.AI2024

Multi-agent cooperation through learning-aware policy gradients

Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald +6

Self-interested individuals often fail to cooperate, posing a fundamental challenge for multi-agent learning. How can we achieve cooperation among self-interested, independent lear…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.