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- Jeff Wu, Sanjay Lall
- CDC
- 2010

We give an optimal dynamic programming algorithm to solve a class of finite-horizon decentralized Markov decision processes (MDPs). We consider problems with a broadcast information structure that consists of a central node that only has access to its own state but can affect several outer nodes, while each outer node has access to both its own state and… (More)

- Jeff Wu, Sanjay Lall
- CDC
- 2014

- Jeff Wu, Sanjay Lall
- ACC
- 2015

We present an exact dynamic programming solution for a finite-horizon decentralized two-player Markov decision process , where player 1 only has access to its own states, while player 2 has access to both player's states but cannot affect player 1's states. The solution is obtained by solving several centralized partially-observable Markov decision… (More)

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