#
temporal-differencing-learning
Here are
40 public repositories
matching this topic...
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Updated
Jul 28, 2019
Python
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Updated
Mar 15, 2019
Jupyter Notebook
Updated
Jun 7, 2017
Jupyter Notebook
A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
Updated
Mar 21, 2018
HTML
[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.
Updated
Jun 29, 2018
TypeScript
Updated
Sep 16, 2019
Python
Basic Reinforcement Learning algorithms
Updated
Jun 6, 2019
Jupyter Notebook
Introduction to Reinforcement Learning in Python
Updated
Oct 17, 2018
Python
Reinforcement Learning algorithms with nothing abstracted away
Updated
Apr 28, 2020
Python
PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
Updated
Sep 10, 2020
Jupyter Notebook
A self-learning chess artificial intelligence
Updated
Feb 21, 2019
Python
Updated
Sep 12, 2019
Python
This repository has all the codes and sources of various RL algorithms that I have implemented.
Updated
Aug 7, 2020
Python
Temporal Difference Learning for Game 2048 (Demo)
Implemented AdaTD and compared it with other optimization methods in temporal difference learning.
Updated
Feb 24, 2020
Python
Python implementation and analysis of two reinforcement algorithms – monte carlo and temporal differencing
Updated
Jan 15, 2020
Python
Watch the AI learn to play Meta-Tic-Tac-Toe:
Updated
Apr 22, 2014
JavaScript
Temporal difference mini project from the reinforcement learning section of Udacity's Machine Learning Nanodegree (MLND). This mini project wasn't required to be turned in; used as a teaching tool.
Updated
Jun 7, 2018
Jupyter Notebook
Einreichung für die it-talents.de/Adesso Code-Competition Oktober 2017 ("Kampf gegen Mühlen"). Eine ES6-Webapplikation auf Basis von vue.js, fabric.js und synaptic für das Spiel Mühle im Browser. Es stehen unterschiedlich starke AI mit diversen Charakteristika zur Verfuegung. Das Spiel und AI laufen komplett im Browser als WebWorker.
Updated
Mar 26, 2018
JavaScript
Reinforcement Learning tool to show how λ and learning rate affect Q(λ). Demonstrates this through teaching a bot to solve a maze.
Updated
Feb 11, 2020
Python
Various computational models for reinforcement learning
Updated
Sep 12, 2017
MATLAB
Various fundamental reinforcement learning algorithms implemented from scratch
Updated
May 26, 2020
Python
My RL Project (2048 World Record + IEEE TCIAIG Journal Source Code)
Updated
Jan 17, 2019
Jupyter Notebook
Solving The Royal Game of Ur using Reinforcement Learning - Monte Carlo, TD Methods, Dynamic Programming, DQN
Updated
Apr 14, 2019
Jupyter Notebook
Foundations Of Intelligent Learning Agents (FILA) Assignments
Updated
Nov 8, 2019
Python
Assignments for CS747 - Foundations of Intelligent and Learning Agents
Updated
Nov 8, 2019
Python
Various reinforcement learning algorithms implemented using Python. This repo also contains a DQN approach to solve credit-card anomaly detection use-case.
Updated
Jun 21, 2020
Jupyter Notebook
My solution notebooks for the Deep Reinforcement Learning Nanodegree by Udacity
Updated
Jan 28, 2020
Jupyter Notebook
Train a Tic-Tac-Toe and a Connect-4 player using the TD-lambda algorithm
Updated
Dec 29, 2017
Python
Improve this page
Add a description, image, and links to the
temporal-differencing-learning
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
temporal-differencing-learning
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.