Raileanu, Roberta

44 publications

NeurIPS 2025 AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-Bench Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Tatiana Shavrina, Kelvin Niu, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander H Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, Yoram Bachrach

IJCAI 2025 Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra

ICLR 2025 MaestroMotif: Skill Design from Artificial Intelligence Feedback Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro

ICLRW 2025 Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources Alisia Maria Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Yu, Jason E Weston, Jakob Nicolaus Foerster, Roberta Raileanu, Maria Lomeli

NeurIPS 2025 The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Bingchen Zhao, Despoina Magka, Minqi Jiang, Xian Li, Roberta Raileanu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Kelvin Niu, Shagun Sodhani, Michael Shvartsman, Andrei Lupu, Alisia Maria Lupidi, Karen Hambardzumyan, Martin Josifoski, Edan Toledo, Thomas Foster, Lucia Cipolina-Kun, Derek Dunfield, Abhishek Charnalia, Alexander H Miller, Oisin Mac Aodha, Jakob Nicolaus Foerster, Yoram Bachrach

ICLRW 2024 Chain-of-Verification Reduces Hallucination in Large Language Models Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason E Weston

ICML 2024 GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu

ICML 2024 Generalization to New Sequential Decision Making Tasks with In-Context Learning Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu

ICMLW 2024 Large Language Models Are Bad Game Theoretic Reasoners: Evaluating Performance and Bias in Two-Player Non-Zero-Sum Games Nathan Herr, Fernando Acero, Roberta Raileanu, Maria Perez-Ortiz, Zhibin Li

ICLR 2024 Motif: Intrinsic Motivation from Artificial Intelligence Feedback Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff

NeurIPS 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 Foerster, Tim Rocktäschel, Roberta Raileanu

ICLRW 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 Nicolaus Foerster, Tim Rocktäschel, Roberta Raileanu

ICMLW 2024 Teaching Large Language Models to Reason with Reinforcement Learning Alexander Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu

ICLR 2024 The Generalization Gap in Offline Reinforcement Learning Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu

ICLR 2024 Understanding the Effects of RLHF on LLM Generalisation and Diversity Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu

NeurIPSW 2023 A Study of Generalization in Offline Reinforcement Learning Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu

ICML 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs Mikael Henaff, Minqi Jiang, Roberta Raileanu

NeurIPSW 2023 A Study on Improving Reasoning in Language Models Yuqing Du, Alexander Havrilla, Sainbayar Sukhbaatar, Pieter Abbeel, Roberta Raileanu

TMLR 2023 Augmented Language Models: A Survey Grégoire Mialon, Roberto Dessi, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Roziere, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom

ICLR 2023 Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu

ICML 2023 Hyperparameters in Reinforcement Learning and How to Tune Them Theresa Eimer, Marius Lindauer, Roberta Raileanu

NeurIPS 2023 Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe

NeurIPSW 2023 Learning to Solve New Sequential Decision-Making Tasks with In-Context Learning Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu

ICLR 2023 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning Mikayel Samvelyan, Akbir Khan, Michael D Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel

NeurIPSW 2023 Motif: Intrinsic Motivation from Artificial Intelligence Feedback Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff

NeurIPS 2023 On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang, J. Zico Kolter, Roberta Raileanu

NeurIPS 2023 Toolformer: Language Models Can Teach Themselves to Use Tools Timo Schick, Jane Dwivedi-Yu, Roberto Dessi, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

NeurIPSW 2023 Understanding the Effects of RLHF on LLM Generalisation and Diversity Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu

ICMLW 2022 Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu

NeurIPSW 2022 Building a Subspace of Policies for Scalable Continual Learning Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu

NeurIPS 2022 Dungeons and Data: A Large-Scale NetHack Dataset Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray

NeurIPS 2022 Exploration via Elliptical Episodic Bonuses Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel

NeurIPS 2022 Improving Intrinsic Exploration with Language Abstractions Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah Goodman, Tim Rocktäschel, Edward Grefenstette

NeurIPSW 2022 Integrating Episodic and Global Bonuses for Efficient Exploration Mikael Henaff, Minqi Jiang, Roberta Raileanu

NeurIPSW 2022 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning Mikayel Samvelyan, Akbir Khan, Michael D Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel

NeurIPSW 2022 Uncertainty-Driven Exploration for Generalization in Reinforcement Learning Yiding Jiang, J Zico Kolter, Roberta Raileanu

NeurIPS 2021 Automatic Data Augmentation for Generalization in Reinforcement Learning Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

ICML 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu, Rob Fergus

ICLR 2021 Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero, Roberta Raileanu, Heinrich Kuttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette

ICML 2020 Fast Adaptation to New Environments via Policy-Dynamics Value Functions Roberta Raileanu, Max Goldstein, Arthur Szlam, Rob Fergus

ICLR 2020 RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments Roberta Raileanu, Tim Rocktäschel

NeurIPS 2020 The NetHack Learning Environment Heinrich Küttler, Nantas Nardelli, Alexander Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel

ICML 2018 Modeling Others Using Oneself in Multi-Agent Reinforcement Learning Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus