This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
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Updated
Sep 12, 2024 - MDX
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.
Implementation of selected Reinforcement Learning Algorithms
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