* 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

* NQueensProblem returns tuples as states

* Reran search.ipynb

* List to tuple

* Changed default value and add heuristic function

* Added astar_search for NQueensProblem

* Added tests for NQueensProblem

* 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

* Refactor EightPuzzle class

* return instead of print

* Added tests for EightPuzzle

* Review fixes

* Review fixes

* Fixed tests

* Update inverted commas in docstrings

Fixes #748.

* Forward-Backward examples added to the ipynb. Fixes issue #813

* Forward-Backward examples added to the probability.ipynb. Fixes issue #813

* Convert Latex syntax to Markdown except from the equations with subscript characters

* Added WumpusKB for use in HybridWumpusAgent

* Implemented HybridWumpusAgent 

added WumpusPosition helping class.

* Added pl-fc-entails section

* Updated README.md

* Updated filename

* Added tests for pl-fc-entails

* Review fixes

* Rewrote parts of search.ipynb

* Fixed typo and cleared cell output

* Added section on min-conflicts

* Refactor one-liner for loop

* Added tests for min_conflicts and NQueensCSP

* test commit

* agents.ipynb

* agents.ipynb

* Fixed all the instances of issue #833

* minor fix and cleared change in agents.ipynb

* Added air_cargo to planning.ipynb

* Some style issues

* Updating submodule

* Moved viz code to notebook.py + changes

* Changed use of 'next'

* Added networkx to .travis.yml

* Added others to .travis.yml

* Remove time from .travis.yml

* Added linebreaks and fixed case for no algo

* Fixed spaces for args

* Renamed *search as *search_for_vis

* Added test for simpleReflexAgent

* Fixed a bug

* Fixed another bug

* Added dpll section

* Updated README.md

* Added WalkSAT section

* Updated README.md

* styling changes and bug fixes in learning.py

* Fix #833 and other pep corrections in mdp.py

* minor change mdp.py

* renamed train_and_test() to train_test_split() #55 #830

* typo fix

A new function, `injection` for dependency injection of globals (for classes and functions that weren't designed for dependency injection).