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Filtering by: Subject Decision making -- Computer programs

Planning in multi-agent partially observable domains using sparse sampling

Creator:

Donneau-Golencer, Thierry D.

Abstract:

A large number of sequential decision-making problems in uncertain environments can be modeled as Markov Decision Processes (MDPs). In such settings, an agent can observe at each time step the state of the environment and then executes an action, causing a stochastic transition to a new state of the environment...

Resource Type:

Masters Thesis