Andrei Lupu

According to our database, Andrei Lupu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants.

Lize Alberts, Benjamin Ellis, Andrei Lupu, Jakob N. Foerster

CoRR, 2024

Discovering Minimal Reinforcement Learning Environments.

Jarek Liesen, Chris Lu, Andrei Lupu, Jakob N. Foerster, Henning Sprekeler, Robert T. Lange

CoRR, 2024

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

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

CoRR, 2024

Behaviour Distillation.

Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob Nicolaus Foerster

Proceedings of the Twelfth International Conference on Learning Representations, 2024

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

JaxMARL: Multi-Agent RL Environments in JAX.

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

CoRR, 2023

Adversarial Diversity in Hanabi.

Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Grounding Aleatoric Uncertainty for Unsupervised Environment Design.

Minqi Jiang, Michael Dennis, Jack Parker-Holder, Andrei Lupu, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Explaining Deviations for Coordination.

Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Off-Team Learning.

Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Trajectory Diversity for Zero-Shot Coordination.

Andrei Lupu, Brandon Cui, Hengyuan Hu, Jakob N. Foerster

Proceedings of the 38th International Conference on Machine Learning, 2021

Trajectory Diversity for Zero-Shot Coordination.

Andrei Lupu, Hengyuan Hu, Jakob N. Foerster

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Gifting in Multi-Agent Reinforcement Learning.

Andrei Lupu, Doina Precup

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Option-Critic in Cooperative Multi-agent Systems.

Jhelum Chakravorty, Patrick Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Gifting in Multi-Agent Reinforcement Learning (Student Abstract).

Andrei Lupu, Doina Precup

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Leveraging Observations in Bandits: Between Risks and Benefits.

Andrei Lupu, Audrey Durand, Doina Precup

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Leveraging Observational Learning for Exploration in Bandits.

Andrei Lupu, Audrey Durand, Doina Precup

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Imitation Upper Confidence Bound for Bandits on a Graph.

Andrei Lupu, Doina Precup

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