Adam Lerer

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 53

Top Topics

Graph Embedding

Regret Minimization

Partially Observable

Reinforcement Learning

Top Venues

Publications

Alexander Peysakhovich, Adam Lerer
Attention Sorting Combats Recency Bias In Long Context Language Models. CoRR (2023)
Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. ICLR (2023)
Hugh Zhang, Adam Lerer, Noam Brown
Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization. CoRR (2022)
Leon Yao, Caroline Lo, Israel Nir, Sarah Tan, Ariel Evnine, Adam Lerer, Alex Peysakhovich
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes. CoRR (2022)
Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. CoRR (2022)
Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux
IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown
Human-AI Coordination via Human-Regularized Search and Learning. CoRR (2022)
Hugh Zhang, Adam Lerer, Noam Brown
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. AAAI (2022)
Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. ICML (2022)
Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives
Learning inverse folding from millions of predicted structures. ICML (2022)
Ellen D. Zhong, Adam Lerer, Joseph H. Davis, Bonnie Berger
CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images. ICCV (2021)
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster
Off-Belief Learning. ICML (2021)
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David Wu, Noam Brown, Jakob N. Foerster
Off-Belief Learning. CoRR (2021)
Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. CoRR (2021)
Anton Bakhtin, David Wu, Adam Lerer, Noam Brown
No-Press Diplomacy from Scratch. CoRR (2021)
Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown
No-Press Diplomacy from Scratch. NeurIPS (2021)
Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. CoRR (2021)
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. ICLR (2021)
Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
Improving Policies via Search in Cooperative Partially Observable Games. AAAI (2020)
Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster
"Other-Play" for Zero-Shot Coordination. CoRR (2020)
Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer
Scalable Graph Neural Networks for Heterogeneous Graphs. CoRR (2020)
Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster
"Other-Play" for Zero-Shot Coordination. ICML (2020)
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. CoRR (2020)
Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. NeurIPS (2020)
Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. NeurIPS (2020)
Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob N. Foerster
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. CoRR (2020)
Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. CoRR (2020)
Eric Steinberger, Adam Lerer, Noam Brown
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning. CoRR (2020)
Adam Lerer, Alexander Peysakhovich
Learning Existing Social Conventions via Observationally Augmented Self-Play. AIES (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 Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR (2019)
Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich
Pytorch-BigGraph: A Large Scale Graph Embedding System. MLSys (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 Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS (2019)
Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm
Deep Counterfactual Regret Minimization. ICML (2019)
Alexander Peysakhovich, Christian Kroer, Adam Lerer
Robust Multi-agent Counterfactual Prediction. NeurIPS (2019)
Alexander Peysakhovich, Christian Kroer, Adam Lerer
Robust Multi-agent Counterfactual Prediction. CoRR (2019)
Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alexander Peysakhovich
PyTorch-BigGraph: A Large-scale Graph Embedding System. CoRR (2019)
Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown
Improving Policies via Search in Cooperative Partially Observable Games. CoRR (2019)
Alexander Peysakhovich, Adam Lerer
Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones. AAMAS (2018)
Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam
Composable Planning with Attributes. CoRR (2018)
Alexander Peysakhovich, Adam Lerer
Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version). AAAI Workshops (2018)
Adam Lerer, Alexander Peysakhovich
Learning Social Conventions in Markov Games. CoRR (2018)
Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, Emmanuel Dupoux
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning. CoRR (2018)
Alexander Peysakhovich, Adam Lerer
Towards AI that Can Solve Social Dilemmas. AAAI Spring Symposia (2018)
Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus
Composable Planning with Attributes. ICML (2018)
Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm
Deep Counterfactual Regret Minimization. CoRR (2018)
Alexander Peysakhovich, Adam Lerer
Consequentialist conditional cooperation in social dilemmas with imperfect information. ICLR (Poster) (2018)
Adam Lerer, Alexander Peysakhovich
Maintaining cooperation in complex social dilemmas using deep reinforcement learning. CoRR (2017)
Alexander Peysakhovich, Adam Lerer
Prosocial learning agents solve generalized Stag Hunts better than selfish ones. CoRR (2017)
Alexander Peysakhovich, Adam Lerer
Consequentialist conditional cooperation in social dilemmas with imperfect information. CoRR (2017)
Adam Lerer, Sam Gross, Rob Fergus
Learning Physical Intuition of Block Towers by Example. ICML (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. CoRR (2016)
Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár
A MultiPath Network for Object Detection. BMVC (2016)
Adam Lerer, Sam Gross, Rob Fergus
Learning Physical Intuition of Block Towers by Example. CoRR (2016)
Carl Hartung, Adam Lerer, Yaw Anokwa, Clint Tseng, Waylon Brunette, Gaetano Borriello
Open data kit: tools to build information services for developing regions. ICTD (2010)
Adam Lerer, Molly Ward, Saman P. Amarasinghe
Evaluation of IVR data collection UIs for untrained rural users. ACM DEV (2010)
Yaw Anokwa, Carl Hartung, Waylon Brunette, Gaetano Borriello, Adam Lerer
Open Source Data Collection in the Developing World. Computer 42 (10) (2009)
Yaw Anokwa, Carl Hartung, Adam Lerer, Brian DeRenzi, Gaetano Borriello
A new generation of open source data collection tools. ICTD (2009)