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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 2016Show all

3 papers · 1 filter

cs.AI2016★ 45 cited

Playing Doom with SLAM-Augmented Deep Reinforcement Learning

Shehroze Bhatti, Alban Desmaison, Ondrej Miksik +3

A number of recent approaches to policy learning in 2D game domains have been successful going directly from raw input images to actions. However when employed in complex 3D enviro…

cs.LG2016★ 85 cited

TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games

Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat +5

We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from…

cs.RO2016★ 23 cited

Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments

A. Bordallo, F. Previtali, N. Nardelli +1

Many modern robotics applications require robots to function autonomously in dynamic environments including other decision making agents, such as people or other robots. This calls…

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