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researcher

Pol Moreno

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedNeural Recursive Belief States in Multi-Agent Reinforcement Learning

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 7 cited

Neural Recursive Belief States in Multi-Agent Reinforcement Learning

Pol Moreno, Edward Hughes, Kevin R. McKee +2

In multi-agent reinforcement learning, the problem of learning to act is particularly difficult because the policies of co-players may be heavily conditioned on information only ob…

cs.AI2020

Game Plan: What AI can do for Football, and What Football can do for AI

Karl Tuyls, Shayegan Omidshafiei, Paul Muller +33

The rapid progress in artificial intelligence (AI) and machine learning has opened unprecedented analytics possibilities in various team and individual sports, including baseball,…

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