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2020 – today
- 2024
[c26]Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston:
Chain-of-Verification Reduces Hallucination in Large Language Models. ACL (Findings) 2024: 3563-3578- [c25]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. EMNLP (Findings) 2024: 5026-5041 - [c24]Sam Earle
, Filippos Kokkinos, Yuhe Nie, Julian Togelius, Roberta Raileanu:
DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. FDG 2024: 17 - [c23]Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu:
Understanding the Effects of RLHF on LLM Generalisation and Diversity. ICLR 2024 - [c22]Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff:
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. ICLR 2024 - [c21]Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu:
The Generalization Gap in Offline Reinforcement Learning. ICLR 2024 - [c20]Alexander Havrilla, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Roberta Raileanu:
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements. ICML 2024 - [c19]Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu:
Generalization to New Sequential Decision Making Tasks with In-Context Learning. ICML 2024 - [i33]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR abs/2402.14158 (2024) - [i32]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 abs/2402.16822 (2024) - [i31]Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu:
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR abs/2403.04642 (2024) - [i30]Sam Earle, Filippos Kokkinos, Yuhe Nie, Julian Togelius, Roberta Raileanu:
DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft. CoRR abs/2404.15538 (2024) - [i29]Nathan Herr, Fernando Acero, Roberta Raileanu, María Pérez-Ortiz, Zhibin Li:
Are Large Language Models Strategic Decision Makers? A Study of Performance and Bias in Two-Player Non-Zero-Sum Games. CoRR abs/2407.04467 (2024) - [i28]Alisia Lupidi, Carlos Gemmell, Nicola Cancedda, Jane Dwivedi-Yu, Jason Weston, Jakob Foerster, Roberta Raileanu, Maria Lomeli:
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. CoRR abs/2409.08239 (2024) - 2023
- [j1]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:
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu:
Building a Subspace of Policies for Scalable Continual Learning. ICLR 2023 - [c17]Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Roberta Raileanu, Tim Rocktäschel:
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. ICLR 2023 - [c16]Theresa Eimer, Marius Lindauer, Roberta Raileanu:
Hyperparameters in Reinforcement Learning and How To Tune Them. ICML 2023: 9104-9149 - [c15]Mikael Henaff, Minqi Jiang, Roberta Raileanu:
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. ICML 2023: 12972-12999 - [c14]Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. NeurIPS 2023 - [c13]Yiding Jiang, J. Zico Kolter, Roberta Raileanu:
On the Importance of Exploration for Generalization in Reinforcement Learning. NeurIPS 2023 - [c12]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. NeurIPS 2023 - [i27]Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, Thomas Scialom:
Toolformer: Language Models Can Teach Themselves to Use Tools. CoRR abs/2302.04761 (2023) - [i26]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:
Augmented Language Models: a Survey. CoRR abs/2302.07842 (2023) - [i25]Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Roberta Raileanu, Tim Rocktäschel:
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning. CoRR abs/2303.03376 (2023) - [i24]Theresa Eimer, Marius Lindauer, Roberta Raileanu:
Hyperparameters in Reinforcement Learning and How To Tune Them. CoRR abs/2306.01324 (2023) - [i23]Mikael Henaff, Minqi Jiang, Roberta Raileanu:
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs. CoRR abs/2306.03236 (2023) - [i22]Yiding Jiang, J. Zico Kolter, Roberta Raileanu:
On the Importance of Exploration for Generalization in Reinforcement Learning. CoRR abs/2306.05483 (2023) - [i21]Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. CoRR abs/2307.01163 (2023) - [i20]Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy:
Challenges and Applications of Large Language Models. CoRR abs/2307.10169 (2023) - [i19]Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason Weston:
Chain-of-Verification Reduces Hallucination in Large Language Models. CoRR abs/2309.11495 (2023) - [i18]Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff:
Motif: Intrinsic Motivation from Artificial Intelligence Feedback. CoRR abs/2310.00166 (2023) - [i17]Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu:
Understanding the Effects of RLHF on LLM Generalisation and Diversity. CoRR abs/2310.06452 (2023) - [i16]Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu:
Generalization to New Sequential Decision Making Tasks with In-Context Learning. CoRR abs/2312.03801 (2023) - [i15]Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu:
The Generalization Gap in Offline Reinforcement Learning. CoRR abs/2312.05742 (2023) - 2022
- [c11]Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. NeurIPS 2022 - [c10]Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel:
Exploration via Elliptical Episodic Bonuses. NeurIPS 2022 - [c9]Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. NeurIPS 2022 - [i14]Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. CoRR abs/2202.08938 (2022) - [i13]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:
Insights From the NeurIPS 2021 NetHack Challenge. CoRR abs/2203.11889 (2022) - [i12]Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel:
Exploration via Elliptical Episodic Bonuses. CoRR abs/2210.05805 (2022) - [i11]Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. CoRR abs/2211.00539 (2022) - [i10]Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu:
Building a Subspace of Policies for Scalable Continual Learning. CoRR abs/2211.10445 (2022) - 2021
- [b1]Roberta Raileanu:
Towards More General and Adaptive Deep Reinforcement Learning Agents. New York University, USA, 2021 - [c8]Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette:
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. ICLR 2021 - [c7]Roberta Raileanu, Rob Fergus:
Decoupling Value and Policy for Generalization in Reinforcement Learning. ICML 2021: 8787-8798 - [c6]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:
Insights From the NeurIPS 2021 NetHack Challenge. NeurIPS (Competition and Demos) 2021: 41-52 - [c5]Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus:
Automatic Data Augmentation for Generalization in Reinforcement Learning. NeurIPS 2021: 5402-5415 - [i9]Roberta Raileanu, Rob Fergus:
Decoupling Value and Policy for Generalization in Reinforcement Learning. CoRR abs/2102.10330 (2021) - [i8]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:
Open-Ended Learning Leads to Generally Capable Agents. CoRR abs/2107.12808 (2021) - 2020
- [c4]Roberta Raileanu, Tim Rocktäschel:
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. ICLR 2020 - [c3]Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus:
Fast Adaptation to New Environments via Policy-Dynamics Value Functions. ICML 2020: 7920-7931 - [c2]Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel:
The NetHack Learning Environment. NeurIPS 2020 - [i7]Roberta Raileanu, Tim Rocktäschel:
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments. CoRR abs/2002.12292 (2020) - [i6]Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette:
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. CoRR abs/2006.12122 (2020) - [i5]Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus:
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning. CoRR abs/2006.12862 (2020) - [i4]Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel:
The NetHack Learning Environment. CoRR abs/2006.13760 (2020) - [i3]Roberta Raileanu, Maxwell Goldstein, Arthur Szlam, Rob Fergus:
Fast Adaptation via Policy-Dynamics Value Functions. CoRR abs/2007.02879 (2020)
2010 – 2019
- 2018
- [c1]Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus:
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. ICML 2018: 4254-4263 - [i2]Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus:
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. CoRR abs/1802.09640 (2018) - [i1]Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alex Peysakhovich, Kyunghyun Cho, Joan Bruna:
Backplay: "Man muss immer umkehren". CoRR abs/1807.06919 (2018)
Coauthor Index
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