ecb91b37eb
- Updated action selection to use distribution sampling and log probabilities for better stochastic behavior. - Enhanced standard deviation clamping to prevent extreme values, ensuring stability in policy outputs. - Cleaned up code by removing unnecessary comments and improving readability. These changes aim to refine the SAC implementation, enhancing its robustness and performance during training and inference. |
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| .. | ||
| act | ||
| diffusion | ||
| hilserl | ||
| pi0 | ||
| sac | ||
| tdmpc | ||
| vqbet | ||
| __init__.py | ||
| factory.py | ||
| normalize.py | ||
| pretrained.py | ||
| utils.py | ||