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Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings


Jun 16, 2021
Hengyuan Hu, Adam Lerer, Noam Brown, Jakob Foerster


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Off-Belief Learning


Mar 06, 2021
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David Wu, Noam Brown, Jakob Foerster


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Scalable Graph Neural Networks for Heterogeneous Graphs


Nov 19, 2020
Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer


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Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian


Nov 12, 2020
Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob Foerster

* Camera-ready version, NeurIPS 2020 

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Human-Level Performance in No-Press Diplomacy via Equilibrium Search


Oct 06, 2020
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown


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Combining Deep Reinforcement Learning and Search for Imperfect-Information Games


Jul 27, 2020
Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong


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DREAM: Deep Regret minimization with Advantage baselines and Model-free learning


Jun 18, 2020
Eric Steinberger, Adam Lerer, Noam Brown


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"Other-Play" for Zero-Shot Coordination


Mar 09, 2020
Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob Foerster


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Improving Policies via Search in Cooperative Partially Observable Games


Dec 05, 2019
Adam Lerer, Hengyuan Hu, Jakob Foerster, Noam Brown

* AAAI 2020 

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PyTorch: An Imperative Style, High-Performance Deep Learning Library


Dec 03, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

* 12 pages, 3 figures, NeurIPS 2019 

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PyTorch-BigGraph: A Large-scale Graph Embedding System


Apr 09, 2019
Adam Lerer, Ledell Wu, Jiajun Shen, Timothee Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich

* Proceedings of The Conference on Systems and Machine Learning, 2019 

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Robust Multi-agent Counterfactual Prediction


Apr 03, 2019
Alexander Peysakhovich, Christian Kroer, Adam Lerer


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Deep Counterfactual Regret Minimization


Nov 01, 2018
Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm


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Learning Existing Social Conventions in Markov Games


Sep 04, 2018
Adam Lerer, Alexander Peysakhovich


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IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning


Jun 26, 2018
Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux


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Consequentialist conditional cooperation in social dilemmas with imperfect information


Mar 02, 2018
Alexander Peysakhovich, Adam Lerer


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Maintaining cooperation in complex social dilemmas using deep reinforcement learning


Mar 02, 2018
Adam Lerer, Alexander Peysakhovich


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Composable Planning with Attributes


Mar 01, 2018
Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam


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Prosocial learning agents solve generalized Stag Hunts better than selfish ones


Dec 08, 2017
Alexander Peysakhovich, Adam Lerer


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A MultiPath Network for Object Detection


Aug 08, 2016
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár


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Learning Physical Intuition of Block Towers by Example


Mar 03, 2016
Adam Lerer, Sam Gross, Rob Fergus


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