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ORCIDAndrei Lupu
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2020 – today
- 2024
[c14]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert T. Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob N. Foerster:
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. AAMAS 2024: 2444-2446- [c13]Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster:
Behaviour Distillation. ICLR 2024 - [i7]Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu:
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR abs/2402.16822 (2024) - [i6]Jarek Liesen, Chris Lu, Andrei Lupu, Jakob N. Foerster, Henning Sprekeler, Robert T. Lange:
Discovering Minimal Reinforcement Learning Environments. CoRR abs/2406.12589 (2024) - [i5]Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob N. Foerster:
Behaviour Distillation. CoRR abs/2406.15042 (2024) - 2023
- [c12]Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster:
Adversarial Diversity in Hanabi. ICLR 2023 - [i4]Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schröder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster:
JaxMARL: Multi-Agent RL Environments in JAX. CoRR abs/2311.10090 (2023) - 2022
- [c11]Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster:
Off-Team Learning. NeurIPS 2022 - [c10]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. NeurIPS 2022 - [c9]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Grounding Aleatoric Uncertainty for Unsupervised Environment Design. NeurIPS 2022 - [i3]Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster:
Grounding Aleatoric Uncertainty in Unsupervised Environment Design. CoRR abs/2207.05219 (2022) - [i2]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. CoRR abs/2207.12322 (2022) - 2021
- [c8]Andrei Lupu, Hengyuan Hu, Jakob N. Foerster:
Trajectory Diversity for Zero-Shot Coordination. AAMAS 2021: 1593-1595 - [c7]Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster:
Trajectory Diversity for Zero-Shot Coordination. ICML 2021: 7204-7213 - 2020
- [c6]Andrei Lupu, Doina Precup:
Gifting in Multi-Agent Reinforcement Learning (Student Abstract). AAAI 2020: 13871-13872 - [c5]Andrei Lupu, Doina Precup:
Gifting in Multi-Agent Reinforcement Learning. AAMAS 2020: 789-797 - [c4]Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup:
Option-Critic in Cooperative Multi-agent Systems. AAMAS 2020: 1792-1794
2010 – 2019
- 2019
- [c3]Andrei Lupu, Audrey Durand, Doina Precup:
Leveraging Observations in Bandits: Between Risks and Benefits. AAAI 2019: 6112-6119 - [i1]Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup:
Option-critic in cooperative multi-agent systems. CoRR abs/1911.12825 (2019) - 2018
- [c2]Andrei Lupu, Doina Precup:
Imitation Upper Confidence Bound for Bandits on a Graph. AAAI 2018: 8113-8114 - [c1]Andrei Lupu, Audrey Durand, Doina Precup:
Leveraging Observational Learning for Exploration in Bandits. AAMAS 2018: 2001-2003
Coauthor Index
aka: Jakob Nicolaus Foerster
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