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researcher

J. Foerster

13 papers here

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

author position
  • middle author8
  • last author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.AI4
  • cs.CL1
  • cs.GT1
  • cs.MA1
same name
  • J. Foerster — 10 papers, h 6
  • J. Foerster — 1 paper, h 1
  • J. Foerster — 1 paper, h 17

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedMonotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

428 citations · 469 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.LG2020

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian

Jack Parker-Holder, Luke Metz, Cinjon Resnick +6

Over the last decade, a single algorithm has changed many facets of our lives - Stochastic Gradient Descent (SGD). In the era of ever decreasing loss functions, SGD and its various…

cs.CL2020★ 7 cited

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets

Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster +2

For neural models to garner widespread public trust and ensure fairness, we must have human-intelligible explanations for their predictions. Recently, an increasing number of works…

cs.LG2020★ 428 cited

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt +3

In many real-world settings, a team of agents must coordinate its behaviour while acting in a decentralised fashion. At the same time, it is often possible to train the agents in a…

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