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Open-Ended Learning Leads to Generally Capable Agents

Jul 31, 2021
Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michael Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki

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Decoupling Value and Policy for Generalization in Reinforcement Learning

Feb 20, 2021
Roberta Raileanu, Rob Fergus

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Fast Adaptation via Policy-Dynamics Value Functions

Jul 06, 2020
Roberta Raileanu, Max Goldstein, Arthur Szlam, Rob Fergus

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The NetHack Learning Environment

Jun 24, 2020
Heinrich KĂŒttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim RocktĂ€schel

* 27 pages 

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Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Jun 23, 2020
Roberta Raileanu, Max Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus

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Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Jun 22, 2020
Andres Campero, Roberta Raileanu, Heinrich KĂŒttler, Joshua B. Tenenbaum, Tim RocktĂ€schel, Edward Grefenstette

* 17 pages, 5 figures 

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

Feb 29, 2020
Roberta Raileanu, Tim RocktÀschel

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Backplay: "Man muss immer umkehren"

Sep 28, 2018
Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alexander Peysakhovich, Kyunghyun Cho, Joan Bruna

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Modeling Others using Oneself in Multi-Agent Reinforcement Learning

Mar 23, 2018
Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus

* 10 pages, 16 figures, submitted to ICML 2018 

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