Agents

The contextual bandit (2007, Langford/Zhang) problem extends the multi-armed bandit framework, where an agent makes decisions informed by contextual information. Before selecting an action from a set of possible choices, the agent observes relevant context, which consists of a set of features or information surrounding the decision-making environment. The objective is to maximize cumulative rewards […]