Publications

This section is wildly outdated. For an up to date version, please check out Google Scholar!

Legend: highlighted, preprint [p], workshop [w], conference [c], journal [j], joint-first authorship *.

2020

• The NetHack Learning Environment
  Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
  Advances in Neural Information Processing Systems (NeurIPS), 2020
  [BibTeX] [blog] [code]
• Lessons from Reinforcement Learning for Biological Representations of Space
  Alex Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr
  Vision Research, 2020
  [BibTeX]
• Multitask Soft Option Learning
  Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
  Conference on Uncertainty in Artificial Intelligence (UAI), 2020
  [BibTeX]
• WordCraft: An Environment for Benchmarking Commonsense Agent
  Minqi Jiang*, Jelena Luketina*, Nantas Nardelli*, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
  Language in Reinforcement Learning, ICML, 2020
  [BibTeX] [code]
• Simulation-Based Inference for Global Health Decisions
  Christian Schroeder, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atılım Güneş Baydin
  ML for Global Health, ICML, 2020
  [BibTeX]

2019

• MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions
  Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel
  ArXiv Preprint, 2019
  [BibTeX] [blog] [code]
• TorchBeast: A PyTorch Platform for Distributed RL
  Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette
  ArXiv Preprint, 2019
  [BibTeX] [code]
• A Survey of Reinforcement Learning Informed by Natural Language
  Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
  International Joint Conference on Artificial Intelligence (IJCAI), 2019
  [BibTeX]
• Value Propagation Networks
  Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
  International Conference on Learning Representations (ICLR), 2019
  [BibTeX]
• The StarCraft Multi-Agent Challenge
  Mikayel Samvelyan, Tabish Rashid, Christian Schroeder, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob Foerster, Shimon Whiteson
  International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2019
  [BibTeX] [blog] [code]

2018

• Counterfactual Multi-Agent Policy Gradients
  Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
  AAAI Conference on Artificial Intelligence (AAAI), 2018
  Outstanding Student Paper Award
  [BibTeX] [code]

2017

• Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
  Jakob Foerster*, Nantas Nardelli*, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
  International Conference on Machine Learning (ICML), 2017
  [BibTeX] [code]

2016

• Playing Doom with SLAM-Augmented Deep Reinforcement Learning
  Shehroze Bhatti, Alban Desmaison, Ondrej Miksik, Nantas Nardelli, N. Siddharth, Philip H. S. Torr
  ArXiv Preprint, 2016
  [BibTeX] [code]
• TorchCraft: A Library for Machine Learning Research on Real-Time Strategy Games
  Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier
  ArXiv Preprint, 2016
  [BibTeX] [code] [docs]

2015

• Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments
  Alejandro Bordallo, Fabio Previtali, Nantas Nardelli, Subramanian Ramamoorthy
  International Conference on Intelligent Robots and Systems (IROS), 2015
  [BibTeX] [code]