Reinforcement learning tutorials for documenting my learning progress of reinforcement learning in programming.
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Updated
Nov 8, 2024 - Python
Reinforcement learning tutorials for documenting my learning progress of reinforcement learning in programming.
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Proximal Policy Optimization method in Pytorch
Using Q-Learning methods in Gymnasium to solve various games, very basic implementation.
lunar lander gymnasium environment with current python reinforcement learning libraries to get a greater understanding in the machine learning process using a Deep Q Network.
Train an agent to play Pong using OpenAI Gym and policy gradient
Reinforcement learning is a machine learning technique where agents learn to make optimal decisions by maximizing reward signals through interactions with environment. This repository provides a curated list of resources for learning reinforcement learning, including courses, & tutorials from various providers.
Inculdes some of the basic, text book codes
Hugging Face 深度强化学习课程(中文版)
Personal exercises for Reinforcement Learning: An Introduction book by Sutton and Barto
Random walk OpenAI Gym environment.
Learning DQN in OpenAI Gym with pytorch
🦄 RL-Unicorn is a suite of RL algorithms made to run in a plug-and-play fashion. It also includes introductions to many topics in RL, notes of online RL MOOCs and a hand-written topic-wise guide.
lrl: Learn Reinforcement Learning - A package to help people learn basic planning and Reinforcement Learning
...and generating ugly state-action maps for MountainCar-v0
project to control trades. statistics, sentiment analysis, reinforcement learning, etc
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Set of exercises, tutorials and resources for the study of the reinforcement learning framework.
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