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https://web.archive.org/web/20221119014127/https://github.com/topics/cartpole-v1
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36 public repositories
matching this topic...
OpenAI's cartpole env solver.
Updated
Oct 21, 2022
Python
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
Updated
Jan 12, 2019
Python
Solving CartPole-v1 environment in Keras with Actor Critic algorithm an Deep Reinforcement Learning algorithm
Updated
May 19, 2020
Python
Stabilizing an Inverted Pendulum on a cart using Deep Reinforcement Learning
Updated
Jul 8, 2018
Jupyter Notebook
Deep Q-Network (DQN) for CartPole game from OpenAI gym
Updated
Sep 1, 2018
Python
Experiments of the three PPO-Algorithms (PPO, clipped PPO, PPO with KL-penalty) proposed by John Schulman et al. on the 'Cartpole-v1' environment.
Updated
Nov 14, 2021
Python
Custom environment for OpenAI gym
Updated
Aug 9, 2019
Python
Deep Q Learning applied to the CartPole V1 challenge by OpenAI. The problem is solved both in the naive and the vision scenarios, the latter by exploiting game frames and CNN.
Updated
Apr 16, 2022
Python
PGuNN - Playing Games using Neural Networks
Updated
Feb 25, 2019
Python
Implement RL algorithms in PyTorch and test on Gym environments.
Updated
Apr 25, 2022
Python
Tabular Q learning, Policy Gradient and Actor-critics agent for open AI gym 'CartPole-v1'
Updated
Jun 12, 2019
Python
Solving CartPole-v1 environment in Keras with Advantage Actor Critic (A2C) algorithm an Deep Reinforcement Learning algorithm
Updated
Jun 12, 2020
Python
This repository is dedicated to the reinforcement learning examples. I will also upload some algorithms which are somehow correlated with RL.
Updated
Dec 9, 2020
Python
This repository contains the source code and documentation for the course project of the Deep Reinforcement Learning class at Northwestern University. The goal of the project was setting up an Open AI Gym and train different Deep Reinforcement Learning algorithms on the same environment to find out strengths and weaknesses for each algorithm. This will help us to get a better understanding of these algorithms and when it makes sense to use a particular algorithm or modification.
Updated
Jun 9, 2019
Jupyter Notebook
Deep Q Learning applied to the CartPole V1 challenge by OpenAI. The problem is solved both in the naive and the vision scenarios, the latter by exploiting game frames and CNN.
Updated
Apr 16, 2022
Python
I am trying to implement various AI algorithms on various environments (like OpenAI-gym) as I learned my toward the safe AI
Updated
Oct 16, 2021
JavaScript
DQN, DDQN - using experience replay or prioritized experience replay
Updated
Oct 17, 2019
Python
Solving modified CartPole environments using methods in DRL
Updated
May 4, 2020
Jupyter Notebook
Deep learning and Neural Networks course labs&homeworks&assignments
Updated
Feb 9, 2021
Jupyter Notebook
Updated
Sep 25, 2022
Python
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