* Modified FOIL_container

* Added unit tests for FOIL_container functions

* Added knowledge_current_best notebook

* Added knowledge_FOIL notebook

* Added knowledge_version_space notebook

* Added images for knowledge_FOIL notebook

* knowledge.ipynb replaced by knowledge_current_best.ipynb, knowledge_version_space.ipynb, knowledge_FOIL.ipynb

* modify knowledge.py

* created notebooks for GraphPlan, Total Order Planner and Partial Order Planner

* Added hierarchical search and tests

* Created notebook planning_hierarchical_search.ipynb

* Added making progress and tests, minor changes in decompose

* image for planning_hierarchical_search.ipynb

* 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

* 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

* deleting

* reuploading

* Added ensemble learner in learning.ipynb

* Added ensemble_learner.jpg

* Update learning.ipynb

* Update learning.ipynb

* 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

* Updated README.md

* Added function to plot NQueensProblem

* Added queen image

* Changed plotting function for NQueensCSP

* Replaced f'{}' with .format() notation

* Added Pillow to travis.yml

* Added section on Hill Climbing

* Added images

* Updated README.md

* Added pathfinding example

* Added images

* Added mdp_apps notebook

* Added images

* LaTeX formatting errors fixed

* Modified table for TableDrivenVacuumAgent

* Add learing agent

* Add image for learning agent

* Added Policy Iteration section

* Removed ambiguous test

* Capitalized header

* Added images

* Added section for sequential decision problems

* Added vacuum_world.ipynb

* Add psource for environment

Add features like selecting cities to be part of tsp, controlling temperature and speed of
animation.

* fix small bug in knowledge.py

If hypotheses was empty, it would fail.

* add knowledge.ipynb

* fix dollar signs

* add image

* Update nlp.py

* Update test_nlp.py

* Add files via upload

* Update nlp.ipynb

* add generate_random

* Added decisiontreelearner to notebook

* Added RandomForest

* Update learning.ipynb

* Delete multilayer_perceptron.png

* Add files via upload

* Update learning.ipynb

* Add files via upload

* Update learning.ipynb

* Delete perceptron.png

* Add new Perceptron image

* Update Perceptron Implementation

* Update search.ipynb

* Delete comparision.PNG

* Delete mutation.png

* Delete Crossover.png

* Add images

* Update search.ipynb

* Update learning.py

converted method sample(self) to propety and removed the call in the statement return self.sampler

* Update search.py

minor code formatting.

* Implmented GA

Implemented Genetic Algoritm in search.py and search.ipynb

* implemented Genetic Algorithm in search.py and made modifications according to flake8. Demonstrated the working of GA iin search.ipynb.

* implemented Genetic Algorithm in search.py and made modifications according to flake8. Demonstrated the working of GA iin search.ipynb.

* Updated GA in search.ipynb

Removed the image links and included the images used in the image
folder. Reduced the file size from 2.4 MB to 183 KB. For every 21 print
statements that we previously had, now we have 2, only printing the
fittest individual in each generation. The instructions has been made to
get the detailed output.

* Delete aima-python.iml

* Delete misc.xml

* Delete modules.xml

* Delete workspace.xml

* Update learning.py

* Update search.py

* Add files via upload

* Add Perceptron Section

* Add Perceptron Image

* Delete fig_5_2.svg

* add fig_5_2.png

* Update games.ipynb

* Added Plurality Learner Plot Image

* Update learning.ipynb

* Delete knn_plot.png

* Add files via upload

this classifier of learning module is not optimized to run on this huge MNIST data

* Intro and representation of MDPs in code

* Added Image for MDP