Technology
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion, Nicolas Usunier, Gabriel Synnaeve, Alessandro Lazaric
Neural Information Processing Systems http://nips.cc/
3c3c139bd8467c1587a41081ad78045e-AuthorFeedback.pdf
This creates an exploration problem since uncorrelated39 exploration isnotlikelytosolveallthetasks evenonce because theagents will keeposcillating between tasks.
ZooD: ExploitingModelZoofor Out-of-DistributionGeneralization
ZooD then continues with model aggregation consisting ofmodel ensemble andfeature selection.
To Learn or Not to Learn, That is the Question -- A Feature-Task Dual Learning Model of Perceptual Learning
Perceptual learning refers to the practices through which participants learn to improve their performance in perceiving sensory stimuli.
VisualConceptsTokenization Appendix
This is quite similar to what VCT can learn on the synthesized dataset Objects-Room. As the real-world dataset is more diverse, we observe several failure cases shown in Figure 8. We suppose those failure cases are due to VCT, trained withreconstruction loss,isnotgoodatsynthesizing counterfactual samples which arefarfromthe data distribution.
