Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
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Updated
Sep 22, 2020 - Python
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
Backgammon OpenAI Gym
[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.
Basic Reinforcement Learning algorithms
TD-Gammon implementation
Temporal Difference Learning for Game 2048 (Demo)
Introduction to Reinforcement Learning in Python
Reinforcement Learning algorithms with nothing abstracted away
Hyper-accelerated tree search (HATS) algorithm for solving integer least-squares problems in large-scale systems.
A self-learning chess artificial intelligence
Exercises and projects from Udacity's Nanodegree
solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using SARSA Temporal difference method Reinforcement Learning
This repository has all the codes and sources of various RL algorithms that I have implemented.
Exercises in reinforcement learning
Well I'm gonna build my own theme park
solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Temporal difference method Reinforcement Learning
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