DecomposedMDPSolver.jl

Tools for solving an MDP using decomposition. The two main contributions are

1. An implementation of the Attend, Adapt and Transfer (A2T) network for Q learning: https://arxiv.org/abs/1510.02879
2. An implementation of Monte-Carlo Policy evaluation

Usage

1. For A2T, construct an A2TNetwork by defining a base network, an attention network, and list of functions that compute estimates to the Q values (either from previous solutions or sub problems)
2. For Monte-Carlo Policy evaluation, see examples/failure_estimation.jl to see how to compute the probability of failure using this approach.

Maintained by Anthony Corso (acorso@stanford.edu)