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researcher

Jesse van Remmerden

3 papers here

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
ORCID 0009-0005-1966-6907

identity via Semantic Scholar / OpenAlex

most citedDeep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization

11 citations · 12 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2024★ 11 cited

Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization

Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers +3

In this paper, we introduce Multi-Objective Deep Centralized Multi-Agent Actor-Critic (MO- DCMAC), a multi-objective reinforcement learning (MORL) method for infrastructural mainte…

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