Datasets:
Modalities:
Text
Formats:
text
Size:
< 1K
Tags:
mixture-of-experts
continual-learning
non-stationary
reinforcement-learning
meta-learning
pytorch
License:
| runtime: | |
| seed: 42 | |
| save_dir: outputs_transition | |
| device: auto # auto / cpu / cuda | |
| training: | |
| epochs: 220 | |
| lr: 0.002 | |
| weight_decay: 0.00001 | |
| model: | |
| hidden_dim: 64 | |
| num_experts: 3 | |
| gate_hidden_dim: 64 | |
| temperature: 0.60 | |
| data: | |
| overlap_std: 0.9 | |
| phase_batch_size: 64 | |
| phase_train_cycles: 40 | |
| phase_test_cycles: 12 | |
| transition_steps: 8 | |
| loss: | |
| alpha_dogma: 0.04 | |
| beta_nomad: 0.05 | |
| gamma_diversity: 0.08 | |
| lambda_sep: 0.08 | |
| lambda_cons: 0.03 | |
| delta: | |
| ema_decay: 0.80 | |
| err_baseline_momentum: 0.85 | |
| w_env: 1.0 | |
| w_err: 2.0 |