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07/11/2023
On Imperfect Recall in Multi-Agent Influence Diagrams
Multi-agent influence diagrams (MAIDs) are a popular game-theoretic mode...
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01/05/2023
Reasoning about Causality in Games
Causal reasoning and game-theoretic reasoning are fundamental topics in ...
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08/25/2022
Learning Task Automata for Reinforcement Learning using Hidden Markov Models
Training reinforcement learning (RL) agents using scalar reward signals ...
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03/18/2021
Concentric Spherical GNN for 3D Representation Learning
Learning 3D representations that generalize well to arbitrarily oriented...
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02/09/2021
Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice
Multi-agent influence diagrams (MAIDs) are a popular form of graphical m...
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12/21/2019
How Robust Are Graph Neural Networks to Structural Noise?
Graph neural networks (GNNs) are an emerging model for learning graph em...
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12/19/2019
Exploring AI Futures Through Role Play
We present an innovative methodology for studying and teaching the impac...
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10/08/2019
