Nantas Nardelli

According to our database, Nantas Nardelli authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models.

Theodore Wolf, Nantas Nardelli, John Shawe-Taylor, María Pérez-Ortiz

CoRR, 2023

2021

Insights From the NeurIPS 2021 NetHack Challenge.

Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

WordCraft: An Environment for Benchmarking Commonsense Agents.

Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel

CoRR, 2020

Simulation-Based Inference for Global Health Decisions.

Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin

CoRR, 2020

Multitask Soft Option Learning.

Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

The NetHack Learning Environment.

Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Lessons from reinforcement learning for biological representations of space.

Alexander Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr

CoRR, 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

CoRR, 2019

TorchBeast: A PyTorch Platform for Distributed RL.

Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette

CoRR, 2019

Multitask Soft Option Learning.

Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson

CoRR, 2019

A Survey of Reinforcement Learning Informed by Natural Language.

Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Value Propagation Networks.

Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier

Proceedings of the 7th International Conference on Learning Representations, 2019

The StarCraft Multi-Agent Challenge.

Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Counterfactual Multi-Agent Policy Gradients.

Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning.

Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson

CoRR, 2017

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning.

Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

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

CoRR, 2016

Playing Doom with SLAM-Augmented Deep Reinforcement Learning.

Shehroze Bhatti, Alban Desmaison, Ondrej Miksik, Nantas Nardelli, N. Siddharth, Philip H. S. Torr

CoRR, 2016

2015

Counterfactual reasoning about intent for interactive navigation in dynamic environments.

Alejandro Bordallo, Fabio Previtali, Nantas Nardelli, Subramanian Ramamoorthy

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015