Nantas Nardelli

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 25

Top Topics

Maximum Entropy Models

Dynamic Environments

Reinforcement Learning

Top Venues

Publications

Theodore Wolf, Nantas Nardelli, John Shawe-Taylor, María Pérez-Ortiz
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models. CoRR (2023)
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
Insights From the NeurIPS 2021 NetHack Challenge. CoRR (2022)
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 Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) (2021)
Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
Multitask Soft Option Learning. UAI (2020)
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
Simulation-Based Inference for Global Health Decisions. CoRR (2020)
Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
WordCraft: An Environment for Benchmarking Commonsense Agents. CoRR (2020)
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
The NetHack Learning Environment. CoRR (2020)
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
The NetHack Learning Environment. NeurIPS (2020)
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
Value Propagation Networks. ICLR (Poster) (2019)
Heinrich Küttler, Nantas Nardelli, Thibaut Lavril, Marco Selvatici, Viswanath Sivakumar, Tim Rocktäschel, Edward Grefenstette
TorchBeast: A PyTorch Platform for Distributed RL. CoRR (2019)
Alexander Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H. S. Torr
Lessons from reinforcement learning for biological representations of space. CoRR (2019)
Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson
Multitask Soft Option Learning. CoRR (2019)
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
The StarCraft Multi-Agent Challenge. AAMAS (2019)
Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. CoRR (2019)
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
The StarCraft Multi-Agent Challenge. CoRR (2019)
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
A Survey of Reinforcement Learning Informed by Natural Language. CoRR (2019)
Jelena Luketina, Nantas Nardelli, Gregory Farquhar, Jakob N. Foerster, Jacob Andreas, Edward Grefenstette, Shimon Whiteson, Tim Rocktäschel
A Survey of Reinforcement Learning Informed by Natural Language. IJCAI (2019)
Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
Counterfactual Multi-Agent Policy Gradients. AAAI (2018)
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H. S. Torr, Nicolas Usunier
Value Propagation Networks. CoRR (2018)
Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. ICML (2017)
Jakob N. Foerster, Nantas Nardelli, Gregory Farquhar, Philip H. S. Torr, Pushmeet Kohli, Shimon Whiteson
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning. CoRR (2017)
Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson
Counterfactual Multi-Agent Policy Gradients. CoRR (2017)
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR (2016)
Alejandro Bordallo, Fabio Previtali, Nantas Nardelli, Subramanian Ramamoorthy
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments. CoRR (2016)
Shehroze Bhatti, Alban Desmaison, Ondrej Miksik, Nantas Nardelli, N. Siddharth, Philip H. S. Torr
Playing Doom with SLAM-Augmented Deep Reinforcement Learning. CoRR (2016)
Alejandro Bordallo, Fabio Previtali, Nantas Nardelli, Subramanian Ramamoorthy
Counterfactual reasoning about intent for interactive navigation in dynamic environments. IROS (2015)