Added Sparse Sampling planning algorithm
Updated Q-Value based policies to translate object paramerterized
actions to ensure consistency with the input state.
minor adjustments to sparse sampling
helper methods
added a helper debug method
Added functionality to make sparse sampling not sample and instead use
the actual transition dynamics, resulting in an exact finite horizon
value function. This approach should only be used if the number of
possible transitions from a state is small and if the full transition
model for the domain is available.
corrected sparse sampling to fail when full transition dynamics are used
with options, since factored access to depth is not available.
Added some additional documentation
doc fix
Merge branch 'master' into jmacglashan
Merge pull request #19 from jmacglashan/jmacglashan

Jmacglashan