oalvarobraz/pytorch-cartpole-rl
A from-scratch Deep Reinforcement Learning (DQN) agent built with PyTorch to solve the CartPole-v1 environment, featuring Experience Replay and Target Networks.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/oalvarobraz/pytorch-cartpole-rl"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
WilliamLwj/PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
jekyllstein/Reinforcement-Learning-Sutton-Barto-Exercise-Solutions
Chapter notes and exercise solutions for Reinforcement Learning: An Introduction by Sutton and Barto
cfoh/Multi-Armed-Bandit-Example
Learning Multi-Armed Bandits by Examples. Currently covering MAB, UCB, Boltzmann Exploration,...
matteocasolari/reinforcement-learning-an-introduction-solutions
Implementations for solutions to programming exercises of Reinforcement Learning: An...
BY571/Upside-Down-Reinforcement-Learning
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published...