Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
-
Updated
May 2, 2023 - Python
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
TD-Gammon implementation
Backgammon OpenAI Gym
AI bots playing Tic Tac Toe
Introduction to Reinforcement Learning in Python
Temporal Difference Learning for the Game of 2048 (Demo)
Using Q-Learning Control for path planning of mobile agents in an enviroment.
Reinforcement Learning algorithms with nothing abstracted away
A self-learning chess artificial intelligence
Path Planning with Reinforcement Learning algorithms in an unknown environment
Foundations Of Intelligent Learning Agents (FILA) Assignments
Various fundamental reinforcement learning algorithms implemented from scratch
Implemented AdaTD and compared it with other optimization methods in temporal difference learning.
Decentralized temporal-difference reinforcement learning over randomly reshuffled topology
Reinforcement Learning Notebooks
This repository has all the codes and sources of various RL algorithms that I have implemented.
A framework for collision probability distribution estimation via temporal difference learning
TD-Gammon is a computer backgammon program developed in 1992 by Gerald Tesauro at IBM's Thomas J. Watson Research Center. Its name comes from the fact that it is an artificial neural net trained by a form of temporal-difference learning, specifically TD-lambda.
Well I'm gonna build my own theme park
My Implementation of the Accelerated Gradient Temporal Difference Learning algorithm in Python
Add a description, image, and links to the temporal-differencing-learning topic page so that developers can more easily learn about it.
To associate your repository with the temporal-differencing-learning topic, visit your repo's landing page and select "manage topics."