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2020 – today
- 2023
[c27]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- [i28]Alexander Peysakhovich, Adam Lerer:
Attention Sorting Combats Recency Bias In Long Context Language Models. CoRR abs/2310.01427 (2023) - 2022
- [j2]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): 5016-5025 (2022) - [c26]Hugh Zhang, Adam Lerer, Noam Brown:
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. AAAI 2022: 9484-9492 - [c25]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: 8946-8970 - [c24]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: 9695-9728 - [i27]Hugh Zhang, Adam Lerer, Noam Brown:
Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization. CoRR abs/2204.04826 (2022) - [i26]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 abs/2206.04907 (2022) - [i25]Hengyuan Hu, David J. Wu, Adam Lerer, Jakob N. Foerster, Noam Brown:
Human-AI Coordination via Human-Regularized Search and Learning. CoRR abs/2210.05125 (2022) - [i24]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 abs/2210.05492 (2022) - 2021
- [c23]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: 4046-4055 - [c22]Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown:
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. ICLR 2021 - [c21]Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster:
Off-Belief Learning. ICML 2021: 4369-4379 - [c20]Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown:
No-Press Diplomacy from Scratch. NeurIPS 2021: 18063-18074 - [i23]Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster:
Off-Belief Learning. CoRR abs/2103.04000 (2021) - [i22]Hengyuan Hu, Adam Lerer, Noam Brown, Jakob N. Foerster:
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings. CoRR abs/2106.09086 (2021) - [i21]Anton Bakhtin, David J. Wu, Adam Lerer, Noam Brown:
No-Press Diplomacy from Scratch. CoRR abs/2110.02924 (2021) - [i20]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 abs/2112.07544 (2021) - 2020
- [c19]Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown:
Improving Policies via Search in Cooperative Partially Observable Games. AAAI 2020: 7187-7194 - [c18]Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. ICML 2020: 4399-4410 - [c17]Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong:
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. NeurIPS 2020 - [c16]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 - [i19]Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. CoRR abs/2003.02979 (2020) - [i18]Eric Steinberger, Adam Lerer, Noam Brown:
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning. CoRR abs/2006.10410 (2020) - [i17]Noam Brown, Anton Bakhtin, Adam Lerer, Qucheng Gong:
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. CoRR abs/2007.13544 (2020) - [i16]Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown:
Human-Level Performance in No-Press Diplomacy via Equilibrium Search. CoRR abs/2010.02923 (2020) - [i15]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 abs/2011.06505 (2020) - [i14]Lingfan Yu, Jiajun Shen, Jinyang Li, Adam Lerer:
Scalable Graph Neural Networks for Heterogeneous Graphs. CoRR abs/2011.09679 (2020)
2010 – 2019
- 2019
- [c15]Adam Lerer, Alexander Peysakhovich:
Learning Existing Social Conventions via Observationally Augmented Self-Play. AIES 2019: 107-114 - [c14]Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm:
Deep Counterfactual Regret Minimization. ICML 2019: 793-802 - [c13]Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich:
Pytorch-BigGraph: A Large Scale Graph Embedding System. SysML 2019 - [c12]Alexander Peysakhovich, Christian Kroer, Adam Lerer:
Robust Multi-agent Counterfactual Prediction. NeurIPS 2019: 3077-3087 - [c11]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: 8024-8035 - [i13]Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alexander Peysakhovich:
PyTorch-BigGraph: A Large-scale Graph Embedding System. CoRR abs/1903.12287 (2019) - [i12]Alexander Peysakhovich, Christian Kroer, Adam Lerer:
Robust Multi-agent Counterfactual Prediction. CoRR abs/1904.02235 (2019) - [i11]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 abs/1912.01703 (2019) - [i10]Adam Lerer, Hengyuan Hu, Jakob N. Foerster, Noam Brown:
Improving Policies via Search in Cooperative Partially Observable Games. CoRR abs/1912.02318 (2019) - 2018
- [c10]Alexander Peysakhovich, Adam Lerer:
Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version). AAAI Workshops 2018: 310-316 - [c9]Alexander Peysakhovich, Adam Lerer:
Towards AI that Can Solve Social Dilemmas. AAAI Spring Symposia 2018 - [c8]Alexander Peysakhovich, Adam Lerer:
Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones. AAMAS 2018: 2043-2044 - [c7]Alexander Peysakhovich, Adam Lerer:
Consequentialist conditional cooperation in social dilemmas with imperfect information. ICLR (Poster) 2018 - [c6]Amy Zhang, Sainbayar Sukhbaatar, Adam Lerer, Arthur Szlam, Rob Fergus:
Composable Planning with Attributes. ICML 2018: 5837-5846 - [i9]Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam:
Composable Planning with Attributes. CoRR abs/1803.00512 (2018) - [i8]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 abs/1803.07616 (2018) - [i7]Adam Lerer, Alexander Peysakhovich:
Learning Social Conventions in Markov Games. CoRR abs/1806.10071 (2018) - [i6]Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm:
Deep Counterfactual Regret Minimization. CoRR abs/1811.00164 (2018) - 2017
- [i5]Adam Lerer, Alexander Peysakhovich:
Maintaining cooperation in complex social dilemmas using deep reinforcement learning. CoRR abs/1707.01068 (2017) - [i4]Alexander Peysakhovich, Adam Lerer:
Prosocial learning agents solve generalized Stag Hunts better than selfish ones. CoRR abs/1709.02865 (2017) - [i3]Alexander Peysakhovich, Adam Lerer:
Consequentialist conditional cooperation in social dilemmas with imperfect information. CoRR abs/1710.06975 (2017) - 2016
- [c5]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro Oliveira Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. BMVC 2016 - [c4]Adam Lerer, Sam Gross, Rob Fergus:
Learning Physical Intuition of Block Towers by Example. ICML 2016: 430-438 - [i2]Adam Lerer, Sam Gross, Rob Fergus:
Learning Physical Intuition of Block Towers by Example. CoRR abs/1603.01312 (2016) - [i1]Sergey Zagoruyko, Adam Lerer, Tsung-Yi Lin, Pedro H. O. Pinheiro, Sam Gross, Soumith Chintala, Piotr Dollár:
A MultiPath Network for Object Detection. CoRR abs/1604.02135 (2016) - 2010
- [c3]Adam Lerer, Molly Ward, Saman P. Amarasinghe:
Evaluation of IVR data collection UIs for untrained rural users. ACM DEV 2010: 2 - [c2]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: 18:1-18:12
2000 – 2009
- 2009
- [j1]Yaw Anokwa, Carl Hartung, Waylon Brunette, Gaetano Borriello, Adam Lerer:
Open Source Data Collection in the Developing World. Computer 42(10): 97-99 (2009) - [c1]Yaw Anokwa, Carl Hartung, Adam Lerer, Brian DeRenzi, Gaetano Borriello:
A new generation of open source data collection tools. ICTD 2009: 493
Coauthor Index
aka: Alex Peysakhovich
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