Roberta Raileanu

According to our database, Roberta Raileanu authored at least 39 papers between 2018 and 2024.

Collaborative distances:

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

2024

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

CoRR, 2024

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources.

Alisia Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob Foerster, Roberta Raileanu, Maria Lomeli

CoRR, 2024

Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games.

Nathan Herr, Fernando Acero, Roberta Raileanu, María Pérez-Ortiz, Zhibin Li

CoRR, 2024

Teaching Large Language Models to Reason with Reinforcement Learning.

Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu

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

Generalization to New Sequential Decision Making Tasks with In-Context Learning.

Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Generalization Gap in Offline Reinforcement Learning.

Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft.

Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius, Roberta Raileanu

Proceedings of the 19th International Conference on the Foundations of Digital Games, 2024

TOOLVERIFIER: Generalization to New Tools via Self-Verification.

Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Chain-of-Verification Reduces Hallucination in Large Language Models.

Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Augmented Language Models: a Survey.

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

Trans. Mach. Learn. Res., 2023

Challenges and Applications of Large Language Models.

Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy

CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

CoRR, 2023

Toolformer: Language Models Can Teach Themselves to Use Tools.

Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Importance of Exploration for Generalization in Reinforcement Learning.

Yiding Jiang, J. Zico Kolter, Roberta Raileanu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Language Plasticity via Pretraining with Active Forgetting.

Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs.

Mikael Henaff, Minqi Jiang, Roberta Raileanu

Proceedings of the International Conference on Machine Learning, 2023

Hyperparameters in Reinforcement Learning and How To Tune Them.

Theresa Eimer, Marius Lindauer, Roberta Raileanu

Proceedings of the International Conference on Machine Learning, 2023

MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning.

Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Building a Subspace of Policies for Scalable Continual Learning.

Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Improving Intrinsic Exploration with Language Abstractions.

Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette

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

Exploration via Elliptical Episodic Bonuses.

Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel

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

Dungeons and Data: A Large-Scale NetHack Dataset.

Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray

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

2021

Towards More General and Adaptive Deep Reinforcement Learning Agents.

Roberta Raileanu

PhD thesis, 2021

Open-Ended Learning Leads to Generally Capable Agents.

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

CoRR, 2021

Automatic Data Augmentation for Generalization in Reinforcement Learning.

Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Decoupling Value and Policy for Generalization in Reinforcement Learning.

Roberta Raileanu, Rob Fergus

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

Learning with AMIGo: Adversarially Motivated Intrinsic Goals.

Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Fast Adaptation via Policy-Dynamics Value Functions.

Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus

CoRR, 2020

Automatic Data Augmentation for Generalization in Deep Reinforcement Learning.

Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

CoRR, 2020

The NetHack Learning Environment.

Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Fast Adaptation to New Environments via Policy-Dynamics Value Functions.

Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus

Proceedings of the 37th International Conference on Machine Learning, 2020

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments.

Roberta Raileanu, Tim Rocktäschel

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Backplay: "Man muss immer umkehren".

Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alex Peysakhovich, Kyunghyun Cho, Joan Bruna

CoRR, 2018

Modeling Others using Oneself in Multi-Agent Reinforcement Learning.

Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus

Proceedings of the 35th International Conference on Machine Learning, 2018