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This repository is the official implementation of Low-Rank Modular Reinforcement Learning via Muscle Synergy.

Home Page: https://sites.google.com/view/synergy-rl/

License: Other

Python 100.00%
modular-rl multi-agent-reinforcement-learning reinforcement-learning-algorithms robotics

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synergy-rl's Issues

running time

What GPU are you running the experiment on? How long does it take each time？

Hyper-parameter d_model

Hello! I've been trying to reproduce the Synergy-RL experiments, but I'm having trouble to find a proper value for the hyper-parameter d_model. Have tried d_model=1 as readme.md suggests but it performs badly; d_model=64 as argument.py suggests works much better, but still some gap from the original performance in the paper. I'm not sure whether the results are just caused by random seeds or I'm not using the proper hyper-paremeters. Can you share the original parameters used in the paper?

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