No-rank

Apprentice

CrypticDagger

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.

Cartpole, LunarLander, BiPedal Walker

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

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

Aditya N@CrypticDagger

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🤝 Top Collabolators

Wen Cong Tan

Aditya N

Eric Hedgren

Matteo Melloni

🤓 Submissions

Cartpole, LunarLander, BiPedal Walker