Content for Udacity's Machine Learning curriculum
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Updated
Nov 7, 2016 - Jupyter Notebook
Content for Udacity's Machine Learning curriculum
RL seminar and exercise code
Reinforcement Learning Tutorials and Examples
D2DSS - Discrete 2D Soccer Simulator
Practice for implementing Q Learning to find the shortest distance from A to B.
Reinforcement Learning assignments for IE598 (Fall'17)
Assignments of CS294-112 (2017 Fall).
Implementation of various Reinforcement Learning Algorithms
Reinforcement Learning practice based on Gym-OpenAI
My solutions to the programming exercises in Reinforcement Learning: An Introduction (2nd Edition)
Reinforcement learning notebooks
Easy21 assignment from David Silver's RL Course at UCL
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay
Practising Reinforcement Learning
Homework for UC Berkeley CS294 17fall
My solutions to the exercises in the second edition (2018) of Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto.
Contains artificial intelligence related algorithms.
A collection of Reinforcement Learning algorithms.
My exercises while learning Reinforcement Learning
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