A simple fully connected network can be learned by genetic algorithm.
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Updated
Oct 27, 2022 - Python
A simple fully connected network can be learned by genetic algorithm.
Q Learning model for a cart-pole problem
Collection of examples for Reinforcement Learning
Cart pole balancing
C# source code for simulation of the cart and pole balancing task.
Q_learning for cart pole
This repo implements the REINFORCE algorithm for solving the Cart Pole V1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1.
Using Genetic programming for sloving balancing double pendulum problem. The works demonstrates the difference of control performance by using non-Markov and Markov decision process
A simple DQN implementation in Unity3D.
Matlab codes for learning Robotics
This is my implementation of Q-Learning on a cart-pole system using OpenAI Gym
Modern applied deep learning with reinforcement methodology.
Reinforcement Learning with Cart Pole Game
A DDPG solution to the cart-pole swing-up problem.
Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)
first attempts on deep RL techniques
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