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Michael Groom

8 papers hereh-index 316 citations10 works total

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

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.RO2
  • physics.comp-ph2

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning

Sean Groom, Michael Groom, Francisco Belo +4

Machine learning is increasingly employed for the evaluation of football tactics. However, existing approaches focus on characterising historical actions or analyst-specified count…

cs.LG2026

Quantile-Coupled Flow Matching for Distributional Reinforcement Learning

Michael Groom, Victor-Alexandru Darvariu, Lars Kunze +2

Unlike standard expected-return Reinforcement Learning (RL), Distributional RL (DRL) models the full return distribution, making it better-suited for uncertainty-aware and risk-sen…

cs.LG2026

Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems

Xuesong Wang, Michael Groom, Rafael Oliveira +3

Recent years have seen a surge in data-driven surrogates for dynamical systems that can be orders of magnitude faster than numerical solvers. However, many machine learning-based m…

cs.LG2025

An entropy-optimal path to humble AI

Davide Bassetti, Lukáš Pospíšil, Michael Groom +2

Progress of AI has led to very successful, but by no means humble models and tools, especially regarding (i) the huge and further exploding costs and resources they demand, and (ii…

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