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06/14/2023
Toward Grounded Social Reasoning
Consider a robot tasked with tidying a desk with a meticulously construc...
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04/25/2023
The Update Equivalence Framework for Decision-Time Planning
The process of revising (or constructing) a policy immediately prior to ...
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04/13/2023
Language Instructed Reinforcement Learning for Human-AI Coordination
One of the fundamental quests of AI is to produce agents that coordinate...
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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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07/14/2022
K-level Reasoning for Zero-Shot Coordination in Hanabi
The standard problem setting in cooperative multi-agent settings is self...
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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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09/30/2021
Scalable Online Planning via Reinforcement Learning Fine-Tuning
Lookahead search has been a critical component of recent AI successes, s...
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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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11/12/2020
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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03/06/2020
"Other-Play" for Zero-Shot Coordination
We consider the problem of zero-shot coordination - constructing AI agen...
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01/27/2020
Polygames: Improved Zero Learning
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...
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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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12/04/2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
In recent years we have seen fast progress on a number of benchmark prob...
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06/03/2019
Hierarchical Decision Making by Generating and Following Natural Language Instructions
We explore using latent natural language instructions as an expressive a...
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07/12/2016
