* Added PartialOrderPlanner

* Added doctests

* Fix doctests

* Added tests for PartialOrderPlanner methods

* Added test for PartialOrderPlanner

* Rerun planning.ipynb

* Added notebook section for TotalOrderPlanner

* Added image

* Added notebook section for PartialOrderPlanner

* Updated README.md

* Refactor double tennis problem

* Refactored test for double_tennis_problem

* Updated README.md

* Added notebook sections for job_shop_problem and double_tennis_problem

* Updated README.md

* Fixed refinements example

* Added go_to_sfo problem

* Rename TotalOrderPlanner

* Renamed PDDL to PlanningProblem

* test case for zebra problem

* Revert "Merge remote-tracking branch 'upstream/master'"

This reverts commit 5ceab1a27ff73b410200c2f84d22e0a1d79b6fbe, reversing
changes made to 34997e48547a57939d568f170c60e442c2d54db5.

* discarded HEAD changes for merge

* added ensemble_learner jpeg

* updated travis and search

* Added logarithmic learner in nlp_apps (#890)

* Remove zebra tests

* revised Bayes learner explanation

* added missing SimpleReflexAgent from upstream

* Refactored HLA

* Refactors

* Refactored broken tests

* Cleaned up duplicated code

* Cleaned up duplicated code

* Added TotalOrderPlanner

* Linearize helper function

* Added tests for TotalOrderPlanner

* Readd sussman anomaly test

* Added a line to child node

`child_node` method of `Node` uses the `problem.result` which returns normally a state not a node according to its docstring in `Problem`. Naming the variable `next_node` can be confusing to users when it actually refers to a resulting state.

* Update search.py

* Update search.py

* PDDLs and Actions can now be defined using Exprs as well as Strings

* Minor refactors

* Add stochastic game class

* Update backgammon class

* Update Expectiminimax

* Fix lint issues

* Correct compute_utility function

should be '# Body of alphabeta_search:'

* Added MDP2 class

* Updated loop termination condition in value_iteration

* GraphPlan fixed

* Updated test_planning.py

* Added test for spare_tire

* Added test for graphplan

* Added shopping problem

* Added tests for shopping_problem

* Updated README.md

* Refactored planning notebook

* Completed shopping problem

* Refactors

* Updated notebook

* Updated test_planning.py

* Removed doctest temporarily

* Added planning graph image

* Added section on GraphPlan

* Updated README.md

* corrected cell type

* fixed umbrella_prior not defined error

* minor changes

* Resolve recursion issue in Backgammon class

* Handle empty action list in player functions

* Add play_game method for backgammon

* Refactor functions

* Update argmax function call

* added have_cake_and_eat_cake_too

* renamed effect_neg to effect_rem

* added have_cake_and_eat_cake_too to readme

* added details to Problems in planning.ipynb

Added more information for the problems Air Cargo, Spare Tire, Three Block Tower, Have Cake and Eat Cake Too.

* removed a test from planning.py

A test for three block tower problem is written here. I have removed it.

* Style fixes

* minor style fix

* fixed a typo

* minor fixes

some sentence issues

* minor changes

* minor fixes

* refactored changes

* added DLS and IDS to readme

* deleting

* reuploading

* Added linear learner in learning.ipynb

* Update learning.ipynb

* Update learning.ipynb

* Update learning.ipynb

* Added ensemble learner in learning.ipynb

* Added ensemble_learner.jpg

* Update learning.ipynb

* Update learning.ipynb

* define plan_route, plan_shot and refactor code

* minor changes

* Added PlanRoute Problem class

* update plan_route

return list of actions ( node.solution() ) instead of node itself in plan_route

* Added Depth Limited Search in search.ipynb

* Made changes in depth limited search

* added test case for CYK_parse

* added testcase for CYK_parse

* corrected spacing

* fixed issues like alignment, missing comma etc.

* test case for double tennis problem

* Update planning.py

removed commented print statements.

* Correction in the formula for mean square error

* Added cross-entropy loss

* Test case for cross-entropy loss

* Decimal point mistake

* Added spaces around = and ==

* added min_consistent_det to knowledge.ipynb

* some minor changes

* Added SATPlan to logic.ipynb

* Updated README.md

* Added ask_with_dpll to WumpusKB

* Refactored WumpusKB

* Refactored HybridWumpusAgent

* No need for ask_with_dpll, fix typos

* override ask_if_true in WumpusKB

* remove extra line

* A few helper functions

* Added Simulated Annealing

* Updated README.md

* Remove BackgammonBoard class

* Refactor code

* fixed typos

* fixed several typos

* Corrected test_compare_agents() function

TrivialVacuumEnvironment was missing a pair of parenthesis while creating the "environment" object of the TrivialVacuumEnvironment class
ModelBasedVacuumAgent and ReflexVacuumAgent were also missing parenthesis while creating the "agents" object.

* Reverted changes made to test_compare_agents()

* fixed typo

* fix #844 Added Random Forest Learner

* Update learning.ipynb

* Update learning.ipynb

* Add files via upload

* Updated image source

* Added Random Forest in contents section

* Fix expectiminimax and utility issues

* Correct result function

* Fix issue with dice roll in different states

* Refactor code