Andrei Lupu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Max Sum Algorithm

Cooperative Multiagent Systems

Reinforcement Learning

Partially Observable Domains

Top Venues

Publications

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)
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 (2024)
Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob N. Foerster
Behaviour Distillation. CoRR (2024)
Jarek Liesen, Chris Lu, Andrei Lupu, Jakob N. Foerster, Henning Sprekeler, Robert T. Lange
Discovering Minimal Reinforcement Learning Environments. CoRR (2024)
Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster
Behaviour Distillation. ICLR (2024)
Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster
Adversarial Diversity in Hanabi. ICLR (2023)
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 (2023)
Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
Self-Explaining Deviations for Coordination. CoRR (2022)
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)
Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster
Off-Team Learning. NeurIPS (2022)
Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
Self-Explaining Deviations for Coordination. NeurIPS (2022)
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 (2022)
Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster
Trajectory Diversity for Zero-Shot Coordination. ICML (2021)
Andrei Lupu, Hengyuan Hu, Jakob N. Foerster
Trajectory Diversity for Zero-Shot Coordination. AAMAS (2021)
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)
Andrei Lupu, Doina Precup
Gifting in Multi-Agent Reinforcement Learning. AAMAS (2020)
Andrei Lupu, Doina Precup
Gifting in Multi-Agent Reinforcement Learning (Student Abstract). AAAI (2020)
Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup
Option-critic in cooperative multi-agent systems. CoRR (2019)
Andrei Lupu, Audrey Durand, Doina Precup
Leveraging Observations in Bandits: Between Risks and Benefits. AAAI (2019)
Andrei Lupu, Doina Precup
Imitation Upper Confidence Bound for Bandits on a Graph. AAAI (2018)
Andrei Lupu, Audrey Durand, Doina Precup
Leveraging Observational Learning for Exploration in Bandits. AAMAS (2018)