Roberta Raileanu

73 papers A* 25C 1Journal 43Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents. CoRR Alisia Maria Lupidi, Bhavul Gauri, Thomas Foster, Bassel Al Omari, Despoina Magka, Alberto Pepe, Alexis Audran-Reiss, Muna Aghamelu, Nicolas Mario Baldwin, Lucia Cipolina-Kun, Jean-Christophe Gagnon-Audet, Chee Hau Leow, Sandra Lefdal, Hossam Mossalam, Abhinav Moudgil, Saba Nazir, Emanuel Tewolde, Isabel Urrego, Jordi Armengol-Estapé, Amar Budhiraja, Gaurav Chaurasia, Abhishek Charnalia, Derek Dunfield, Karen Hambardzumyan, Daniel Izcovich, Martin Josifoski, Ishita Mediratta, Kelvin Niu, Parth Pathak, Michael Shvartsman, Edan Toledo, Anton Protopopov, Roberta Raileanu, Alexander H. Miller, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach
2026	J	`jnl`	Procedural Generation of Algorithm Discovery Tasks in Machine Learning. CoRR Alexander David Goldie, Zilin Wang, Adrian Hayler, Deepak Nathani, Edan Toledo, Ken Thampiratwong, Aleksandra Kalisz, Michael Beukman, Alistair Letcher, Shashank Reddy, Clarisse Wibault, Theo Wolf, Charles O'Neill, Uljad Berdica, Nicholas Roberts, Saeed Rahmani, Hannah Erlebach, Roberta Raileanu, Shimon Whiteson, Jakob N. Foerster
2025	J	`jnl`	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. CoRR Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Mario Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Kelvin Niu, Tatiana Shavrina, 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
2025	A*	`conf`	Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. IJCAI 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
2025	J	`jnl`	LLM-First Search: Self-Guided Exploration of the Solution Space. CoRR Nathan Herr, Tim Rocktäschel, Roberta Raileanu
2025	J	`jnl`	MLGym: A New Framework and Benchmark for Advancing AI Research Agents. CoRR Deepak Nathani, Lovish Madaan, Nicholas Roberts, Nikolay Bashlykov, Ajay Menon, Vincent Moens, Amar Budhiraja, Despoina Magka, Vladislav Vorotilov, Gaurav Chaurasia, Dieuwke Hupkes, Ricardo Silveira Cabral, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach, William Yang Wang, Roberta Raileanu
2025	A*	`conf`	MaestroMotif: Skill Design from Artificial Intelligence Feedback. ICLR Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
2025	J	`jnl`	Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance. CoRR Shalini Maiti, Amar Budhiraja, Bhavul Gauri, Gaurav Chaurasia, Anton Protopopov, Alexis Audran-Reiss, Michael Slater, Despoina Magka, Tatiana Shavrina, Roberta Raileanu, Yoram Bachrach
2025	J	`jnl`	Sparks of Science: Hypothesis Generation Using Structured Paper Data. CoRR Charles O'Neill, Tirthankar Ghosal, Roberta Raileanu, Mike Walmsley, Thang D. Bui, Kevin Schawinski, Ioana Ciuca
2025	J	`jnl`	The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. CoRR 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, Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Thomas Foster, Lucia Cipolina-Kun, Abhishek Charnalia, Derek Dunfield, Alexander H. Miller, Oisin Mac Aodha, Jakob N. Foerster, Yoram Bachrach
2024	J	`jnl`	Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games. CoRR Nathan Herr, Fernando Acero, Roberta Raileanu, María Pérez-Ortiz, Zhibin Li
2024	—	`conf`	Chain-of-Verification Reduces Hallucination in Large Language Models. ACL (Findings) Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston
2024	C	`conf`	DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. FDG Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius, Roberta Raileanu
2024	J	`jnl`	DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. CoRR Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius, Roberta Raileanu
2024	A*	`conf`	GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. ICML Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu
2024	A*	`conf`	Generalization to New Sequential Decision Making Tasks with In-Context Learning. ICML Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
2024	J	`jnl`	MaestroMotif: Skill Design from Artificial Intelligence Feedback. CoRR Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
2024	A*	`conf`	Motif: Intrinsic Motivation from Artificial Intelligence Feedback. ICLR Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
2024	A*	`conf`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. NeurIPS 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
2024	J	`jnl`	Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts. CoRR 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
2024	J	`jnl`	Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. CoRR Alisia Maria Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob N. Foerster, Roberta Raileanu, Maria Lomeli
2024	—	`conf`	TOOLVERIFIER: Generalization to New Tools via Self-Verification. EMNLP (Findings) Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024	J	`jnl`	TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu
2024	J	`jnl`	Teaching Large Language Models to Reason with Reinforcement Learning. CoRR Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu
2024	A*	`conf`	The Generalization Gap in Offline Reinforcement Learning. ICLR Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu
2024	A*	`conf`	Understanding the Effects of RLHF on LLM Generalisation and Diversity. ICLR Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu
2023	A*	`conf`	A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. ICML Mikael Henaff, Minqi Jiang, Roberta Raileanu
2023	J	`jnl`	A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. CoRR Mikael Henaff, Minqi Jiang, Roberta Raileanu
2023	J	`jnl`	Augmented Language Models: a Survey. CoRR Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	J	`jnl`	Augmented Language Models: a Survey. Trans. Mach. Learn. Res. Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	A*	`conf`	Building a Subspace of Policies for Scalable Continual Learning. ICLR Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
2023	J	`jnl`	Chain-of-Verification Reduces Hallucination in Large Language Models. CoRR Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston
2023	J	`jnl`	Challenges and Applications of Large Language Models. CoRR Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy
2023	J	`jnl`	Generalization to New Sequential Decision Making Tasks with In-Context Learning. CoRR Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu
2023	A*	`conf`	Hyperparameters in Reinforcement Learning and How To Tune Them. ICML Theresa Eimer, Marius Lindauer, Roberta Raileanu
2023	J	`jnl`	Hyperparameters in Reinforcement Learning and How To Tune Them. CoRR Theresa Eimer, Marius Lindauer, Roberta Raileanu
2023	A*	`conf`	Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe
2023	J	`jnl`	Improving Language Plasticity via Pretraining with Active Forgetting. CoRR Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe
2023	A*	`conf`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel
2023	J	`jnl`	Motif: Intrinsic Motivation from Artificial Intelligence Feedback. CoRR Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff
2023	A*	`conf`	On the Importance of Exploration for Generalization in Reinforcement Learning. NeurIPS Yiding Jiang, J. Zico Kolter, Roberta Raileanu
2023	J	`jnl`	On the Importance of Exploration for Generalization in Reinforcement Learning. CoRR Yiding Jiang, J. Zico Kolter, Roberta Raileanu
2023	J	`jnl`	The Generalization Gap in Offline Reinforcement Learning. CoRR Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu
2023	A*	`conf`	Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
2023	J	`jnl`	Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom
2023	J	`jnl`	Understanding the Effects of RLHF on LLM Generalisation and Diversity. CoRR Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu
2022	J	`jnl`	Building a Subspace of Policies for Scalable Continual Learning. CoRR Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
2022	A*	`conf`	Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
2022	J	`jnl`	Dungeons and Data: A Large-Scale NetHack Dataset. CoRR Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray
2022	A*	`conf`	Exploration via Elliptical Episodic Bonuses. NeurIPS Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	J	`jnl`	Exploration via Elliptical Episodic Bonuses. CoRR Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
2022	A*	`conf`	Improving Intrinsic Exploration with Language Abstractions. NeurIPS Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Improving Intrinsic Exploration with Language Abstractions. CoRR Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Insights From the NeurIPS 2021 NetHack Challenge. CoRR 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
2021	A*	`conf`	Automatic Data Augmentation for Generalization in Reinforcement Learning. NeurIPS Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2021	A*	`conf`	Decoupling Value and Policy for Generalization in Reinforcement Learning. ICML Roberta Raileanu, Rob Fergus
2021	J	`jnl`	Decoupling Value and Policy for Generalization in Reinforcement Learning. CoRR Roberta Raileanu, Rob Fergus
2021	—	`conf`	Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 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
2021	A*	`conf`	Learning with AMIGo: Adversarially Motivated Intrinsic Goals. ICLR Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette
2021	J	`jnl`	Open-Ended Learning Leads to Generally Capable Agents. CoRR Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michaël Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki
2021	—	`—`	Towards More General and Adaptive Deep Reinforcement Learning Agents. Roberta Raileanu
2020	J	`jnl`	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning. CoRR Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2020	A*	`conf`	Fast Adaptation to New Environments via Policy-Dynamics Value Functions. ICML Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus
2020	J	`jnl`	Fast Adaptation via Policy-Dynamics Value Functions. CoRR Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus
2020	J	`jnl`	Learning with AMIGo: Adversarially Motivated Intrinsic Goals. CoRR Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette
2020	A*	`conf`	RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. ICLR Roberta Raileanu, Tim Rocktäschel
2020	J	`jnl`	RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. CoRR Roberta Raileanu, Tim Rocktäschel
2020	A*	`conf`	The NetHack Learning Environment. NeurIPS Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
2020	J	`jnl`	The NetHack Learning Environment. CoRR Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel
2018	J	`jnl`	Backplay: "Man muss immer umkehren". CoRR Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alex Peysakhovich, Kyunghyun Cho, Joan Bruna
2018	A*	`conf`	Modeling Others using Oneself in Multi-Agent Reinforcement Learning. ICML Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus
2018	J	`jnl`	Modeling Others using Oneself in Multi-Agent Reinforcement Learning. CoRR Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus