edX-CS188.1x-Artificial-Intelligence

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edX-CS188.1x-Artificial-Intelligence

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Projects from the edX (BerkleyX) course: CS188.1x Artificial Intelligence

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# CS188.1x-Artificial-Intelligence (edX)

These are the assigments for the 02.2015 edX/BerkleyX course found here: [https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x-0](https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x-0)

### Project 1
* Depth First Search (DFS)
* Breadth First Search (BFS)
* Uniform Cost Search (UCS)
* A star Search (A*)
* Various Heuristics

Files edited:
* `search.py`
* `searchAgents.py`

### Project 2
* Evaluation function for a reflex agent
* Minimax with multiple adversaries
* Alpha Beta pruning
* Expectimax with average
* An evaluation function for states (instead of actions)

Files edited:
* `multiAgents.py`

### Project 3
* Value iteration offline planning agent
* Policy calculation and parameters
* Q-Learning
* Epsilon greedy (q-learning)
* Approximate q-learning and state abstraction
* Approximate q-learning with features and weights

Files edited:
* `analysis.py`
* `qlearningAgents.py`
* `valueIterationAgents.py`

Useful commands can be found under `Project xx\commands.txt`

edX-CS188.1x-Artificial-Intelligence

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