@inproceedings{Amato2007a,
  added-at = {2020-05-24T20:36:48.000+0200},
  address = {Honolulu, Hawaii},
  author = {Amato, Christopher and Carlin, Alan and Zilberstein, Shlomo},
  biburl = {https://www.bibsonomy.org/bibtex/26c1b95dd09ef3a536297be60d8aa80fc/marcondg},
  booktitle = {Workshop at the International Conference on Autonomous Agents and Multi-Agent Systems},
  comment = {Bounded Dynamic Programming (BDP).
Bounds values when pruning additional policies in dynamic programming. 
Given a problem and an error bound, the algorithm will return a solution within that bound when it is able to solve the problem.
---=note-separator=---
Bounded Dynamic Programming (BDP). Bounds values when pruning additional policies in dynamic programming. Given a problem and an error bound, the algorithm will return a solution within that bound when it is able to solve the problem.},
  interhash = {bca8a7c34e54ade7ab29d2612812fe78},
  intrahash = {6c1b95dd09ef3a536297be60d8aa80fc},
  keywords = {approximation, bottom-up, concurrent, dec-pomdp, decentralized, decision-tree, dp, finite-horizon, lim-com, nondet-outcomes, partial-obs},
  timestamp = {2020-05-24T20:36:48.000+0200},
  title = {Bounded Dynamic Programming for Decentralized {POMDP}s},
  url = {http://rbr.cs.umass.edu/shlomo/papers/ACZmsdm07.pdf},
  year = 2007
}

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