Near-optimal Regret Bounds for Stochastic Shortest Path

23 Feb 2020Alon CohenHaim KaplanYishay MansourAviv Rosenberg

Stochastic shortest path (SSP) is a well-known problem in planning and control, in which an agent has to reach a goal state in minimum total expected cost. In the learning formulation of the problem, the agent is unaware of the environment dynamics (i.e., the transition function) and has to repeatedly play for a given number of episodes while reasoning about the problem's optimal solution... (read more)

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