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A Minimal Cognitive Architecture

Features

  • BriCA
  • OpenAI Gym
  • Perceptual Module + Motor Module
  • Autoencoder for Perceptual Module
  • PPO for Motor Module
  • Curriculum Learning

For the details, please read this article.

How to Install

  • Clone the repository
  • BriCA1
    • Follow the instruction here.
  • Cerenaut Core
    • Follow the instruction here.
  • pip install the following
    • OpenAI Gym
      • pip install gym
    • TensorForce
      • pip install tensorforce
    • TensorFlow (used in TensorForce and TensorBoard)
      • pip install tensorflow

To train a perceptual model

Dumping perceptual data

$ python minimal_CA.py 2 --config minimal_CA.json --episode_count 250 --max_steps 1500 --dump dump.txt

This feeds the Gym environment observation directly to the reinforcement learnig to cause learning, while dumping the observation to the dump file.

Training a perceptual model

$ python gym_test_simple.py --dataset dump.txt --save-model saved_model.pt --config minimal_CA.json

This is to train the simple autoencoder from cerenaut_core and to output the model file.

Reinforcement learning with the trained perceptual model

$ python minimal_CA.py 2 --config minimal_CA.json --episode_count 50 --max_steps 1500 --model saved_model.pt

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