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researcher

Nantas Nardelli

20 papers hereh-index 145.5k citations22 works total

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

author position
  • first author1
  • middle author18

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.AI6
  • physics.plasm-ph3
  • cs.RO1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedCounterfactual Multi-Agent Policy Gradients

445 citations · 1.2k across the 18 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

cs.AI2017★ 445 cited

Counterfactual Multi-Agent Policy Gradients

Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras +2

Cooperative multi-agent systems can be naturally used to model many real world problems, such as network packet routing and the coordination of autonomous vehicles. There is a grea…

cs.AI2017★ 420 cited

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Jakob Foerster, Nantas Nardelli, Gregory Farquhar +4

Many real-world problems, such as network packet routing and urban traffic control, are naturally modeled as multi-agent reinforcement learning (RL) problems. However, existing mul…

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