This is an intelligent cartpole which knows how to balance itself.

🤖 Training an RL agent to balance a cartpole in the OpenAI Gym environment.

Reinforcement Learning with Stable Baselines3: Train and evaluate a CartPole agent using Stable Baselines3 library. Includes code for training, saving, and testing the model, along with a GIF visualization of the trained agent.

Implementing some RL algorithms (using PyTorch) on the CartPole environment by OpenAI.

Using DRL algorithms like Policy gradients, A2C on game environments like CartPole-v0 and other Atari games

Solving the gym cartpole v0 problem

cartpole openai gym

Solved CartPole-v0 with REINFORCE algorithm.

Hill Climbing Algorithm implemented for the Cart Pole Environment.

Experiments on Reinforcement Learning with OpenAI Gyms

My attempt to solve the classic CartPole-v0 problem using (Deep) Reinforcement Learning

Using Double Q Networks with experience replay to solve Cartpole v0 in just 184 episodes, implemented in Tensorflow 2.

OpenAI's CartPole-v0

Solutioion to the CartPole problem using Q learning

A CartpoleV0 solution using Keras DNN. A version of the PRO trained model is included also.

Deep Reinforcement Learning on Lunar Lander gym environment

Solving the CartPole using Reinforce algorithm

OpenAI polecart challenge implemented with DQN