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11/24/2022
Melting Pot 2.0
Multi-agent artificial intelligence research promises a path to develop ...
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10/25/2022
In-context Reinforcement Learning with Algorithm Distillation
We propose Algorithm Distillation (AD), a method for distilling reinforc...
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04/08/2022
Semantic Exploration from Language Abstractions and Pretrained Representations
Continuous first-person 3D environments pose unique exploration challeng...
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10/15/2021
Collaborating with Humans without Human Data
Collaborating with humans requires rapidly adapting to their individual ...
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07/29/2021
Learning more skills through optimistic exploration
Unsupervised skill learning objectives (Gregor et al., 2016, Eysenbach e...
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07/11/2019
A Neural Architecture for Designing Truthful and Efficient Auctions
Auctions are protocols to allocate goods to buyers who have preferences ...
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10/19/2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
We propose a unified mechanism for achieving coordination and communicat...
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10/19/2018
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
We derive a new intrinsic social motivation for multi-agent reinforcemen...
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08/06/2018
Learning to Share and Hide Intentions using Information Regularization
Learning to cooperate with friends and compete with foes is a key compon...
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04/01/2016