Lerer, Adam

21 publications

ICLR 2023 Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning Anton Bakhtin, David J Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H Miller, Noam Brown

AAAI 2022 Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization Hugh Zhang, Adam Lerer, Noam Brown

NeurIPSW 2022 Human-AI Coordination via Human-Regularized Search and Learning Hengyuan Hu, David J Wu, Adam Lerer, Jakob Nicolaus Foerster, Noam Brown

ICML 2022 Learning Inverse Folding from Millions of Predicted Structures Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives

NeurIPSW 2022 Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning Anton Bakhtin, David J Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H Miller, Noam Brown

ICML 2022 Modeling Strong and Human-like Gameplay with KL-Regularized Search Athul Paul Jacob, David J Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

ICLRW 2022 Modeling Strong and Human-like Gameplay with KL-Regularized Search Athul Paul Jacob, David J Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown

ICCV 2021 CryoDRGN2: Ab Initio Neural Reconstruction of 3D Protein Structures from Real Cryo-EM Images Ellen D. Zhong, Adam Lerer, Joseph H. Davis, Bonnie Berger

ICLR 2021 Human-Level Performance in No-Press Diplomacy via Equilibrium Search Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown

NeurIPS 2021 No-Press Diplomacy from Scratch Anton Bakhtin, David Wu, Adam Lerer, Noam Brown

ICML 2021 Off-Belief Learning Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob Foerster

NeurIPS 2020 Combining Deep Reinforcement Learning and Search for Imperfect-Information Games Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong

AAAI 2020 Improving Policies via Search in Cooperative Partially Observable Games Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown

NeurIPS 2020 Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob Foerster

ICML 2020 “Other-Play” for Zero-Shot Coordination Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob Foerster

ICML 2019 Deep Counterfactual Regret Minimization Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm

NeurIPS 2019 PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

NeurIPS 2019 Robust Multi-Agent Counterfactual Prediction Alexander Peysakhovich, Christian Kroer, Adam Lerer

ICML 2018 Composable Planning with Attributes Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus

ICLR 2018 Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information Alexander Peysakhovich, Adam Lerer

ICML 2016 Learning Physical Intuition of Block Towers by Example Adam Lerer, Sam Gross, Rob Fergus