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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...
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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...
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06/10/2022
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes
Learning heterogeneous treatment effects (HTEs) is an important problem ...
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04/11/2022
Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization
We extend the classic regret minimization framework for approximating eq...
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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...
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10/06/2021
No-Press Diplomacy from Scratch
Prior AI successes in complex games have largely focused on settings wit...
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06/16/2021
Learned Belief Search: Efficiently Improving Policies in Partially Observable Settings
Search is an important tool for computing effective policies in single- ...
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03/06/2021
Off-Belief Learning
The standard problem setting in Dec-POMDPs is self-play, where the goal ...
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11/19/2020
Scalable Graph Neural Networks for Heterogeneous Graphs
Graph neural networks (GNNs) are a popular class of parametric model for...
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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 ...
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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...
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07/27/2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
The combination of deep reinforcement learning and search at both traini...
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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...
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03/06/2020
"Other-Play" for Zero-Shot Coordination
We consider the problem of zero-shot coordination - constructing AI agen...
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12/05/2019
Improving Policies via Search in Cooperative Partially Observable Games
Recent superhuman results in games have largely been achieved in a varie...
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12/03/2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Deep learning frameworks have often focused on either usability or speed...
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04/03/2019
Robust Multi-agent Counterfactual Prediction
We consider the problem of using logged data to make predictions about w...
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03/28/2019
PyTorch-BigGraph: A Large-scale Graph Embedding System
Graph embedding methods produce unsupervised node features from graphs t...
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11/01/2018
Deep Counterfactual Regret Minimization
Counterfactual Regret Minimization (CFR) is the leading algorithm for so...
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06/26/2018
Learning Existing Social Conventions in Markov Games
In order for artificial agents to coordinate effectively with people, th...
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06/26/2018
Learning Social Conventions in Markov Games
Social conventions - arbitrary ways to organize group behavior - are an ...
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03/20/2018
IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
In order to reach human performance on complex visual tasks, artificial ...
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03/01/2018
Composable Planning with Attributes
The tasks that an agent will need to solve often are not known during tr...
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10/19/2017
Consequentialist conditional cooperation in social dilemmas with imperfect information
Social dilemmas, where mutual cooperation can lead to high payoffs but p...
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09/08/2017
Prosocial learning agents solve generalized Stag Hunts better than selfish ones
Deep reinforcement learning has become an important paradigm for constru...
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07/04/2017
Maintaining cooperation in complex social dilemmas using deep reinforcement learning
Social dilemmas are situations where individuals face a temptation to in...
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04/07/2016
A MultiPath Network for Object Detection
The recent COCO object detection dataset presents several new challenges...
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03/03/2016