Solving Factored MDPs with Exponential-Family Transition Models

  title={Solving Factored MDPs with Exponential-Family Transition Models},
  author={Branislav Kveton and Milos Hauskrecht},
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea of the approach is to approximate the optimal value function by a linear combination of basis functions and optimize it by linear programming. In this paper, we extend the existing HALP paradigm beyond the mixture of beta transition model. As a result, we permit modeling of other transition functions, such as normal… CONTINUE READING
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