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Delta Schema Network in model-based reinforcement learning

Model for learning environment dynamics as logic relations, predicting future states and planning actions to reach reward.

How to try it

pip install -r requirements.txt

Tweak options in model/constants.py, such as:

  • DO_PRELOAD_HANDCRAFTED_* - use handcrafted vectors instead of learned
  • VISUALIZE_* - visualize stuff
  • LEARNING_SOLVER - one can use Gurobi to accelerate training, default is CBC

Run python3 run_agent.py

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