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Inducing Individual Students' Learning Strategies through Homomorphic POMDPs
Optimizing students' learning strategies is a crucial component in intelligent tutoring systems.
Diversifying Agent's Behaviors in Interactive Decision Models
In this article, we investigate into diversifying behaviors of other agents in the subject agent's decision model prior to their interactions.
Intention Recognition for Multiple Agents
Then, we transform the intention recognition into an un-supervised learning problem and adapt a clustering algorithm to group intentions of multiple agents through comparing their behavioural models.
Tensor Decomposition for Multi-agent Predictive State Representation
It is a concise knowledge representation that is well studied in a single-agent planning problem domain.
Team Behavior in Interactive Dynamic Influence Diagrams with Applications to Ad Hoc Teams
This motivates investigating the ad hoc teamwork problem in the context of individual decision making frameworks.
Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams
I-DIDs are graphical models and may be used to compute the policy of an agent given its belief over the physical state and others models, which changes as the agent acts and observes in the multiagent setting.
