lerobot/lerobot/common
KeWang1017 70e3b9248c Refine SAC configuration and policy for enhanced performance
- Updated standard deviation parameterization in SACConfig to 'softplus' with defined min and max values for improved stability.
- Modified action sampling in SACPolicy to use reparameterized sampling, ensuring better gradient flow and log probability calculations.
- Cleaned up log probability calculations in TanhMultivariateNormalDiag for clarity and efficiency.
- Increased evaluation frequency in YAML configuration to 50000 for more efficient training cycles.

These changes aim to enhance the robustness and performance of the SAC implementation during training and inference.
2025-03-28 17:18:24 +00:00
..
datasets Reward classifier and training (#528) 2025-03-28 17:18:24 +00:00
envs chore(doc): add license header to all files (#818) 2025-03-05 17:56:51 +01:00
optim chore(doc): add license header to all files (#818) 2025-03-05 17:56:51 +01:00
policies Refine SAC configuration and policy for enhanced performance 2025-03-28 17:18:24 +00:00
robot_devices Fixup 2025-03-28 17:18:24 +00:00
utils Add offline mode in the configuration for wandb logging (#897) 2025-03-25 13:44:49 +01:00
constants.py chore(doc): add license header to all files (#818) 2025-03-05 17:56:51 +01:00
logger.py Added normalization schemes and style checks 2025-03-28 17:18:24 +00:00