Code for some fun exercises in the textbook 'Reinforcement Learning - An Introduction'
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Updated
Jun 7, 2020 - Jupyter Notebook
Code for some fun exercises in the textbook 'Reinforcement Learning - An Introduction'
OpenAI Gym cartpole solved by a Neural Network (DQN) in Tensorflow 2
Reinforcement learning on OpenAI gym's cartpole environment
Implementing DeepQNetwork and Q learning on gymnasium CartPole-V1 env.
A pole is attached by an un-actuated joint to a cart, which moves along a frictionless track. The system is controlled by applying a force of +1 or -1 to the cart. The pendulum starts upright, and the goal is to prevent it from falling over. A reward of +1 is provided for every timestep that the pole remains upright. The episode ends when the po…
CartPole-CrossEntropyMethod
A reinforcement learning AI agent plays one of our favorite childhood game "Cart Pole"
OpenA.I. challenge for training a system to balance a cart pole.
This project aims to train an artificial neural network to control the cartpole problem using particle swarm optimization.
Hill Climbing Algorithm implemented for the Cart Pole Environment.
Developed a Deep Q Network (DQN) for the cartpole balancing problem (a Google gym environment) using screen (pixel) input to allow generalization to other discrete binary problems and expandability into robotics.
A reinforcement learning tool to play CartPole
Application of Reinforcement learning.
Multiple machine learning algorithms to solve associated problems coupled with varying theoretical examinations.
a reinforcement learning agent learning to balance the cartpole problem
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