Adam Lerer | DeepAI

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Tuomas Sandholm
82 publications
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Aldo Pacchiano
53 publications
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∙ 10/11/2022

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

No-press Diplomacy is a complex strategy game involving both cooperation...

0 Anton Bakhtin, et al. ∙

∙ 10/11/2022

Human-AI Coordination via Human-Regularized Search and Learning

We consider the problem of making AI agents that collaborate well with h...

0 Hengyuan Hu, et al. ∙

∙ 06/10/2022

Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes

Learning heterogeneous treatment effects (HTEs) is an important problem ...

0 Leon Yao, et al. ∙

∙ 04/11/2022

Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization

We extend the classic regret minimization framework for approximating eq...

0 Hugh Zhang, et al. ∙

∙ 12/14/2021

Modeling Strong and Human-Like Gameplay with KL-Regularized Search

We consider the task of building strong but human-like policies in multi...

0 Athul Paul Jacob, et al. ∙

∙ 10/06/2021

No-Press Diplomacy from Scratch

Prior AI successes in complex games have largely focused on settings wit...

0 Anton Bakhtin, et al. ∙

∙ 06/16/2021

Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings

Search is an important tool for computing effective policies in single- ...

0 Hengyuan Hu, et al. ∙

∙ 03/06/2021

Off-Belief Learning

The standard problem setting in Dec-POMDPs is self-play, where the goal ...

0 Hengyuan Hu, et al. ∙

∙ 11/19/2020

Scalable Graph Neural Networks for Heterogeneous Graphs

Graph neural networks (GNNs) are a popular class of parametric model for...

0 Lingfan Yu, et al. ∙

∙ 11/12/2020

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

Over the last decade, a single algorithm has changed many facets of our ...

11 Jack Parker-Holder, et al. ∙

∙ 10/06/2020

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

Prior AI breakthroughs in complex games have focused on either the purel...

4 Jonathan Gray, et al. ∙

∙ 07/27/2020

Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

The combination of deep reinforcement learning and search at both traini...

0 Noam Brown, et al. ∙

∙ 06/18/2020

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

We introduce DREAM, a deep reinforcement learning algorithm that finds o...

0 Eric Steinberger, et al. ∙

∙ 03/06/2020

"Other-Play" for Zero-Shot Coordination

We consider the problem of zero-shot coordination - constructing AI agen...

0 Hengyuan Hu, et al. ∙

∙ 12/05/2019

Improving Policies via Search in Cooperative Partially Observable Games

Recent superhuman results in games have largely been achieved in a varie...

0 Adam Lerer, et al. ∙

∙ 12/03/2019

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

Deep learning frameworks have often focused on either usability or speed...

90 Adam Paszke, et al. ∙

∙ 04/03/2019

Robust Multi-agent Counterfactual Prediction

We consider the problem of using logged data to make predictions about w...

0 Alexander Peysakhovich, et al. ∙

∙ 03/28/2019

PyTorch-BigGraph: A Large-scale Graph Embedding System

Graph embedding methods produce unsupervised node features from graphs t...

0 Adam Lerer, et al. ∙

∙ 11/01/2018

Deep Counterfactual Regret Minimization

Counterfactual Regret Minimization (CFR) is the leading algorithm for so...

0 Noam Brown, et al. ∙

∙ 06/26/2018

Learning Existing Social Conventions in Markov Games

In order for artificial agents to coordinate effectively with people, th...

0 Adam Lerer, et al. ∙

∙ 06/26/2018

Learning Social Conventions in Markov Games

Social conventions - arbitrary ways to organize group behavior - are an ...

0 Adam Lerer, et al. ∙

∙ 03/20/2018

IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning

In order to reach human performance on complex visual tasks, artificial ...

0 Ronan Riochet, et al. ∙

∙ 03/01/2018

Composable Planning with Attributes

The tasks that an agent will need to solve often are not known during tr...

0 Amy Zhang, et al. ∙

∙ 10/19/2017

Consequentialist conditional cooperation in social dilemmas with imperfect information

Social dilemmas, where mutual cooperation can lead to high payoffs but p...

0 Alexander Peysakhovich, et al. ∙

∙ 09/08/2017

Prosocial learning agents solve generalized Stag Hunts better than selfish ones

Deep reinforcement learning has become an important paradigm for constru...

0 Alexander Peysakhovich, et al. ∙

∙ 07/04/2017

Maintaining cooperation in complex social dilemmas using deep reinforcement learning

Social dilemmas are situations where individuals face a temptation to in...

0 Adam Lerer, et al. ∙

∙ 04/07/2016

A MultiPath Network for Object Detection

The recent COCO object detection dataset presents several new challenges...

0 Sergey Zagoruyko, et al. ∙

∙ 03/03/2016

Learning Physical Intuition of Block Towers by Example

Wooden blocks are a common toy for infants, allowing them to develop mot...

0 Adam Lerer, et al. ∙

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