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Roberta Raileanu
Roberta Raileanu
Research Scientist, Meta AI Research (FAIR)
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Modeling others using oneself in multi-agent reinforcement learning
R Raileanu, E Denton, A Szlam, R Fergus
International conference on machine learning, 4257-4266, 2018
1392018
Superbubbles in the Multiphase ISM and the Loading of Galactic Winds
CG Kim, EC Ostriker, R Raileanu
The Astrophysical Journal 834 (1), 25, 2016
1162016
Ride: Rewarding impact-driven exploration for procedurally-generated environments
R Raileanu, T Rocktäschel
arXiv preprint arXiv:2002.12292, 2020
712020
Learning with amigo: Adversarially motivated intrinsic goals
A Campero, R Raileanu, H Küttler, JB Tenenbaum, T Rocktäschel, ...
arXiv preprint arXiv:2006.12122, 2020
572020
Automatic data augmentation for generalization in deep reinforcement learning
R Raileanu, M Goldstein, D Yarats, I Kostrikov, R Fergus
arXiv preprint arXiv:2006.12862, 2020
562020
The nethack learning environment
H Küttler, N Nardelli, A Miller, R Raileanu, M Selvatici, E Grefenstette, ...
Advances in Neural Information Processing Systems 33, 7671-7684, 2020
492020
Open-ended learning leads to generally capable agents
OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ...
arXiv preprint arXiv:2107.12808, 2021
442021
Backplay:" Man muss immer umkehren"
C Resnick, R Raileanu, S Kapoor, A Peysakhovich, K Cho, J Bruna
arXiv preprint arXiv:1807.06919, 2018
332018
Decoupling value and policy for generalization in reinforcement learning
R Raileanu, R Fergus
International Conference on Machine Learning, 8787-8798, 2021
252021
Fast adaptation to new environments via policy-dynamics value functions
R Raileanu, M Goldstein, A Szlam, R Fergus
International Conference on Machine Learning, 7920-7931, 2020
62020
Improving intrinsic exploration with language abstractions
J Mu, V Zhong, R Raileanu, M Jiang, N Goodman, T Rocktäschel, ...
arXiv preprint arXiv:2202.08938, 2022
52022
Automatic data augmentation for generalization in reinforcement learning
R Raileanu, M Goldstein, D Yarats, I Kostrikov, R Fergus
Advances in Neural Information Processing Systems 34, 5402-5415, 2021
52021
Fast adaptation via policy-dynamics value functions
R Raileanu, M Goldstein, A Szlam, R Fergus
arXiv preprint arXiv:2007.02879, 2020
52020
Insights From the NeurIPS 2021 NetHack Challenge
E Hambro, S Mohanty, D Babaev, M Byeon, D Chakraborty, ...
arXiv preprint arXiv:2203.11889, 2022
12022
Building a Subspace of Policies for Scalable Continual Learning
JB Gaya, T Doan, L Caccia, L Soulier, L Denoyer, R Raileanu
Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022
2022
Towards More General and Adaptive Deep Reinforcement Learning Agents
R Raileanu
New York University, 2021
2021
The NetHack Learning Environment Download PDF
H Küttler, N Nardelli, AH Miller, R Raileanu, M Selvatici, E Grefenstette, ...
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