A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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Updated
Mar 15, 2019 - Jupyter Notebook
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
CSE 571 Artificial Intelligence
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes
Reinforcement Learning Short Course
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Basic Reinforcement Learning algorithms
Value & Policy Iteration for the frozenlake environment of OpenAI
Using reinforcement learning to find the shortest paths.
Jack's Car Rental problem and its variant as mentioned in Example 4.2 and Exercise 4.3 respectively of the book by Sutton and Barto (Reinforcement Learning: An Introduction, Second Edition)
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
Tabular methods for reinforcement learning
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
Value Iteration and Policy Iteration to solve MDPs
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Least-Squares Policy Iteration
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
Experiments testing variants of Value and Policy iterations.
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