MehdiShahbazi/DQN-Frozenlake-Gymnasium
This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.
No commits in the last 6 months.
Stars
21
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 19, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MehdiShahbazi/DQN-Frozenlake-Gymnasium"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vietnh1009/Super-mario-bros-PPO-pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
taherfattahi/ppo-rocket-landing
Proximal Policy Optimization (PPO) algorithm using PyTorch to train an agent for a rocket...
fvalka/atc-reinforcement-learning
Reinforcement learning for an air traffic control task. OpenAI gym based simulation.
sdsubhajitdas/Rocket_Lander_Gym
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
juliankappler/lunar-lander
Implementation of deep reinforcement learning algorithms for training an agent to play the game...