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Extensive-Form Game Solving via Blackwell Approachability on Treeplexes
In this paper, we focus on solving Extensive-F orm Games (EFGs).
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TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
Reasoning over TKGs has two challenges: 1.
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rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
Mathieu Fehr, Olivier Buffet, Vincent Thomas, Jilles Dibangoye
Neural Information Processing Systems http://nips.cc/
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Overlapping Clustering Models, and One (class) SVM to Bind Them All
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
Neural Information Processing Systems http://nips.cc/
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ConE: ConeEmbeddingsforMulti-HopReasoning overKnowledgeGraphs Appendix
Figure 1: Fourteen queries used in the experiments. They do not contain personally identifiable information or offensive content. All the models are implemented in Pytorch [5] and based on the official implementation of BETAE [6]2 for a fair comparison. Forall the modules using multi-layer perceptron (MLP), we use a three-layer MLP with 1600 hidden neurons and ReLU activation. We apply dropout to the min function inCardMin and search the dropout rate in{0.05,0.10,0.15,0.20}.