# jaxgmg2_shared_init

20 RL agent checkpoints studying the effect of shared initialization. Two base models
(`al_1.0_g_0.98_id_19_seed_981019` and `al_1.0_g_0.98_id_27_seed_981027` from
[jaxgmg2_3phase_optim_state](https://huggingface.co/timaeus/jaxgmg2_3phase_optim_state))
are each used as a shared starting point, then independently continued from checkpoint 0
(fresh optimizer state) with alpha=1.0 across 10 different random seeds each.

**WandB:** https://wandb.ai/devinterp/jaxgmg2_shared_init

## Sweep

2 base models x 10 seeds (30-39) = 20 total runs.

Base models resumed:
- `jaxgmg2_3phase_optim_state/al_1.0_g_0.98_id_19_seed_981019`
- `jaxgmg2_3phase_optim_state/al_1.0_g_0.98_id_27_seed_981027`

## Shared Hyperparams

```
rl_action=train
alpha=1.0
discount_rate=0.98
lr=5e-05
num_total_env_steps=1351680000
num_rollout_steps=64
num_levels=9600
cheese_loc=any
env_layout=open
env_size=13
resume_id=0
resume_optim=False
grad_acc_per_chunk=4
log_optimizer_state=True
eval_schedule=0:1,250:2,500:5,2000:10
f_str_ckpt=al_1.0_g_0.98_id_{run_id}_shared_init_seed_{seed}
ckpt_dir=jaxgmg2_shared_init
wandb_project=jaxgmg2_shared_init
use_wandb=True
use_hf=True
```

## Naming Schema

Checkpoints are named `al_1.0_g_0.98_id_{run_id}_shared_init_seed_{seed}`.

## Reproduced with

See [`train.yaml`](./train.yaml) in this repository. Run with:

```bash
timaeus run train.yaml
```

from the [timaeus monorepo](https://github.com/timaeus-research/timaeus).