基於動物認知實驗環境之階層式PPO的泛用性檢測

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基於動物認知實驗環境之階層式PPO的泛用性檢測

Taipei City, Taiwan

Generality detection of hierarchical PPO based on animal cognition experimental environment

• Use Tensorflow to build a hierarchical PPO neural network (Proximal Policy Optimization) for Reinforcement learning, which is used to train the agent in the environment based on animal cognition experiments I set up on Unity3D •Test whether the trained model has the ability to deal with the cognitive experiment environment that it has never encountered before, so as to understand the generality of this neural network architecture.
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發布時間: 2022年11月7日
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工具

python
Python

Reinforcement Learning
Deep Learning

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