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05/23/2023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
We propose a novel multimodal video benchmark - the Perception Test - to...
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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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02/21/2022
The Good Shepherd: An Oracle Agent for Mechanism Design
From social networks to traffic routing, artificial learning agents are ...
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02/21/2022
HCMD-zero: Learning Value Aligned Mechanisms from Data
Artificial learning agents are mediating a larger and larger number of i...
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01/27/2022
Human-centered mechanism design with Democratic AI
Building artificial intelligence (AI) that aligns with human values is a...
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12/13/2021
Role of Human-AI Interaction in Selective Prediction
Recent work has shown the potential benefit of selective prediction syst...
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07/14/2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Existing evaluation suites for multi-agent reinforcement learning (MARL)...
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06/16/2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Society is characterized by the presence of a variety of social norms: c...
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03/08/2021
Deep reinforcement learning models the emergent dynamics of human cooperation
Collective action demands that individuals efficiently coordinate how mu...
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10/18/2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences
Game theoretic views of convention generally rest on notions of common k...
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01/29/2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Recent research developing neural network architectures with external me...
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01/25/2020
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors
How can societies learn to enforce and comply with social norms? Here we...
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03/23/2018
Inequity aversion improves cooperation in intertemporal social dilemmas
Groups of humans are often able to find ways to cooperate with one anoth...
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03/23/2018