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10/21/2022
Equivariant Networks for Zero-Shot Coordination
Successful coordination in Dec-POMDPs requires agents to adopt robust st...
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07/29/2022
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering
Large graphs commonly appear in social networks, knowledge graphs, recom...
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06/17/2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximizing the separation between classes constitutes a well-known induc...
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10/09/2021
Multi-Agent MDP Homomorphic Networks
This paper introduces Multi-Agent MDP Homomorphic Networks, a class of n...
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10/06/2021
Geometric and Physical Quantities improve E(3) Equivariant Message Passing
Including covariant information, such as position, force, velocity or sp...
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06/30/2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
This paper introduces MDP homomorphic networks for deep reinforcement le...
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02/01/2019
Visual Rationalizations in Deep Reinforcement Learning for Atari Games
Due to the capability of deep learning to perform well in high dimension...
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01/29/2019
Hyperspherical Prototype Networks
This paper introduces hyperspherical prototype networks, which unify reg...
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06/18/2018
Beyond Local Nash Equilibria for Adversarial Networks
Save for some special cases, current training methods for Generative Adv...
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12/02/2017