Applied reinforcement learning for agent to play these 3 games: Cartpole, LunarLander, BiPedal Walker. We used the basic model of Environment -> State -> Agent -> Action to train our agent. We reward the agent for achieving an outcome that we want, while penalizing the agent for doing otherwise. After many iterations, our agents learns to clear the games.

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Reinforcement Learning OpenAI Gym

Voyager

Alwahsh

TanWenCong00

CrypticDagger

hedgreneric

teomel

Buttery Ben

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.