Using the stable_baselines3 library, we tried to solve the problems proposed in the challenge.
We used a Proximal Policy Optimization (PPO) Model. The Policy we used is a standard MLP.
We tried to change the number of iteration to achieve a better performance.



Are you interested in learning more about reinforcement learning in artificial intelligence, but you are not sure where to start? If this sounds like something that interests you, then this hackathon event is for you!  

Reinforcement Learning OpenAI Gym

Ack-Ack Learn

Deraam

gius_cat

Mario

OpenAI gym is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.

OpenAI gym

OpenAI is an AI research and deployment company

OpenAI

Reinforcement learning is a computational approach to machine learning where agents take actions in an environment to maximize some notion of cumulative reward.

Reinforcement Learning: CartPole, Lunar Lander and Bipedal Walker