1 - 9 of 9 Chapters
[The impact of the advent of the computer on modern societies can hardly be overstated; every single day we are surrounded by more devices equipped with on-board computation capabilities taking care of the ever-expanding range of functions they perform for us. Moreover, the decreasing cost and...
[In this chapter we formally define the Dec-POMDP model. It is a member of the family of discrete-time planning frameworks that are derived from the single-agent Markov decision process.]
[In this chapter, we discuss issues that are specific to finite-horizon Dec-POMDPs. First, we formalize the goal of planning for Dec-POMDPs by introducing optimality criteria and policy representations that are applicable in the finite-horizon case.]
[This chapter presents an overview of exact planning methods for finite-horizon Dec-POMDPs. This means that these methods perform a search through the space of joint policy trees.]
[The previous chapter discussed methods for exactly solving finite-horizon Dec-POMDPs: i.e., methods that guarantee finding the optimal solution. While there have been quite a few insights leading to better scalability, finding an optimal solution remains very challenging and is not possible for...
[This chapter presents an overview of the theory and policy representations for infinite-horizon Dec-POMDPs. The optimality criteria are discussed and policy representations using finite-state controllers are considered.]
[As discussed in Chap. 6, infinite-horizon planning methods focus on generating ε-optimal solutions or solutions with a fixed controller size. We first discuss policy iteration, which is an extension of dynamic programming for Dec-POMDPs to the infinite-horizon case and can produce ε-optimal...
[Decentralized decision making is an active field of research, and many different directions and aspects are actively explored. Here we present an overview of some of the more active directions that people have been pursuing in recent years.]
[This book gives an overview of the research performed since the early 2000s on decision making for multiagent systems under uncertainty. In particular, it focuses on the decentralized POMDP (Dec-POMDP) model, which is a general framework for modeling multiagent systems in settings that are both...
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