Exploring Deep Q Learning Agent Progression Lunarlander V2
Exploring Deep Q Learning Agent Progression Lunarlander V2 reveals several interesting facts.
- Useful Videos - Local Network vs Target Network - https://youtu.be/FhGq_GNicIM Exploration-Exploitation Tradeoff ...
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- Can we train an AI to complete it's objective in a video game world without needing to build a model of the world before hand?
- Sample gameplay of a trained
- Solved with
In-Depth Information on Deep Q Learning Agent Progression Lunarlander V2
This is a video recording the Python and Pytorch. Deep neural networks design of RL agents for Lunar-Lander in openAI gym Lunar Lander 2 with different reinforcement learning methods
Landing pad is always at coordinates (0,0). Coordinates are the first two numbers in state vector. Reward for moving from the top ...
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