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Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning
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Where should the ‘audio.pkl’ be downloaded?
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Hi, I replicated the mujoco experiments by setting '--natural = false' and all missing modal ratios to 0. All other hyper-parameters are as default as written in config.py. The network is trained from scratch without using pre-trained weights. This should be a baseline experiment using the MuMMI algorithm. But I get the following results, which are totally not aligned with the paper:
For the walker stand:
it seems alright.
The agent performance drops in the later training stage.
For the walker run:
The performance totally drops to the ground.
For finger spinning:
The agent basically learns nothing.
What am I doing wrong?
Could you tell me the right setting to replicate the result in your paper?
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