20M timesteps
maybe diminishing returns
Training information
- Algorithm
- ippo_rnn
- Seed
- 901
- Progress unit
- steps
The highest uploaded checkpoint may not be the final progress of the local run. Initialization-only runs do not indicate training.
Uploaded checkpoints
- 20M timesteps · 19.99M steps
Related evaluations
Checkpoint evidence
[
{
"checkpoint_id": "a045c9a9-dbd2-407e-9ea5-cbe7bb538568",
"id": "a045c9a9-dbd2-407e-9ea5-cbe7bb538568",
"label": "20M timesteps \u00b7 19.99M steps",
"progress": 19988480,
"progress_unit": "environment_steps",
"run_id": "1ba3d6f5-2cc8-46cf-8e36-841aada14a44",
"run_name": "20M timesteps",
"sha256": "fe793fb313762382b7c2d433d83c2a610e8386386698b4b1ad3067f10c49a21b",
"source_checkpoint_id": "run:3e36ab97-b1a8-4aaa-8359-c5f39e7c6070:sha256:fe793fb313762382b7c2d433d83c2a610e8386386698b4b1ad3067f10c49a21b",
"training_run_name": "20M timesteps"
}
]Training configuration
{
"ACTIVATION": "relu",
"ALGORITHM": "ippo_rnn",
"ANNEAL_LR": true,
"CHECKPOINT_INTERVAL_UPDATES": 10,
"CHECKPOINT_KEEP_LAST": 3,
"CLIP_EPS": 0.2,
"CNN_FEATURES": 32,
"ENT_COEF": 0.01,
"ENV_KWARGS": {
"agent_view_size": 2,
"indicate_successful_delivery": false,
"layout": "coord_ring",
"max_steps": 400,
"negative_rewards": true,
"observation_type": "default",
"random_agent_positions": true,
"random_reset": false,
"sample_recipe_on_delivery": false,
"start_cooking_interaction": false
},
"ENV_NAME": "overcooked_v2",
"FC_DIM_SIZE": 128,
"GAE_LAMBDA": 0.95,
"GAMMA": 0.99,
"GRU_HIDDEN_DIM": 128,
"GRU_UNROLL": 16,
"LR": 0.0005,
"LR_WARMUP": 0.05,
"MAX_GRAD_NORM": 0.25,
"MINIBATCH_SIZE": 2048,
"NUM_ENVS": 256,
"NUM_MINIBATCHES": 64,
"NUM_SEEDS": 1,
"NUM_STEPS": 256,
"REW_SHAPING_HORIZON": 5000000,
"RUNTIME": {},
"SCALE_CLIP_EPS": false,
"SEED": 901,
"TOTAL_TIMESTEPS": 20000000,
"UPDATE_EPOCHS": 4,
"VF_COEF": 0.5,
"WANDB_MODE": "disabled"
}Training code and dependency provenance
{
"algorithm_source_hash": "5cbd7c4e2faba93004cb701e5ea8ec7778c132aea6ed7862b083fde21c22fca5",
"backend": "gpu",
"device": {
"architecture": "x86_64",
"backend": "gpu",
"devices": [
{
"kind": "NVIDIA GeForce RTX 3070",
"platform": "gpu"
}
],
"logical_cpu_count": 16,
"os": "Linux",
"os_release": "6.18.40.1-microsoft-standard-WSL2",
"python": "3.12.3",
"versions": {
"flax": "0.10.2",
"jax": "0.4.38",
"jaxlib": "0.4.38",
"numpy": "1.26.4",
"optax": "0.2.4"
}
},
"git_commit": "5632bd7dc714a85b138cfdea5ea3976bdbcd5e03",
"git_dirty": true,
"started_at": "2026-11-07T08:32:39.395485+00:00",
"upstream_revision": "976aeb152cb184a5095021968bba94da96eb6394",
"versions": {
"flax": "0.10.2",
"jax": "0.4.38",
"jaxlib": "0.4.38",
"optax": "0.2.4"
}
}Training device
{
"architecture": "x86_64",
"backend": "gpu",
"devices": [
{
"kind": "NVIDIA GeForce RTX 3070",
"platform": "gpu"
}
],
"logical_cpu_count": 16,
"os": "Linux",
"os_release": "6.18.40.1-microsoft-standard-WSL2",
"python": "3.12.3",
"versions": {
"flax": "0.10.2",
"jax": "0.4.38",
"jaxlib": "0.4.38",
"numpy": "1.26.4",
"optax": "0.2.4"
}
}