dreamerv3-torch

Pytorch implementation of Mastering Diverse Domains through World Models.
Validation is in progress.

Instructions

Get dependencies:

pip install -r requirements.txt

Train the agent:

python3 dreamer.py --configs defaults --logdir $ABSOLUTEPATH_TO_SAVE_LOG

Monitor results:

tensorboard --logdir $ABSOLUTEPATH_TO_SAVE_LOG

ToDo

• Prototyping
• Modify implementation details based on the author's implementation
• Evaluate on visual DMC suite
• Add state input capability and evaluate on Proprio Control Suite environment
• Add model size options and evaluate on environments which requires that (like Minecraft)
• etc.

Acknowledgments

This code is heavily inspired by the following works:

• danijar's Dreamer-v3 jax implementation: https://github.com/danijar/dreamerv3
• danijar's Dreamer-v2 tensorflow implementation: https://github.com/danijar/dreamerv2
• jsikyoon's Dreamer-v2 pytorch implementation: https://github.com/jsikyoon/dreamer-torch
• RajGhugare19's Dreamer-v2 pytorch implementation: https://github.com/RajGhugare19/dreamerv2
• denisyarats's DrQ-v2 original implementation: https://github.com/facebookresearch/drqv2