Latest Updates on Lunarlander V2

Exploring Lunarlander V2

Let's dive into the details surrounding Lunarlander V2.

• Reinforcement Learning (vanilla policy gradients) to land on the Moon.
• Solving the Gym environment
• Solution for the
• 3 layer Neural Network that learned to land space craft on surface with reduced fuel consumption through reinforcement learning ...
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In-Depth Information on Lunarlander V2

Timecodes: 0:00 Introduction 0:25 Code overview 1:08 Solution explanation 5:52 Conclusion. Solved with Deep Reinforcement Learning (DQN) in 1000 episodes. Solving OpenAI's This is a video recording the progression of my Deep Q-Network Agent on the

DQN Baseline hyperaparameters. DQN hyperparameters tuned by CMA-ES.

That wraps up our extensive overview of Lunarlander V2.