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.
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
CSE 571 Artificial Intelligence
Tabular methods for reinforcement learning
Using reinforcement learning to find the shortest paths.
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
Value & Policy Iteration for the frozenlake environment of OpenAI
Basic Reinforcement Learning algorithms
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
CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes
Implementation and visualization (some demos) of search and optimization algorithms.
Value Iteration and Policy Iteration to solve MDPs
Reinforcement Learning algorithms with nothing abstracted away
Artificial Intelligence series
Python implementation of common RL algorithms using OpenAI gym environments
Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, by Sutton and Barto".
Least-Squares Policy Iteration
The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU
Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.
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