Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- .summary/0/events.out.tfevents.1711738851.ip-172-31-37-173.ec2.internal +3 -0
- .summary/0/events.out.tfevents.1711742223.ip-172-31-79-185.ec2.internal +3 -0
- README.md +42 -0
- checkpoint_p0/best_000017386_284852224_reward_0.545.pth +3 -0
- checkpoint_p0/checkpoint_000025812_422903808.pth +3 -0
- checkpoint_p0/checkpoint_000026117_427900928.pth +3 -0
- config.json +322 -0
- git.diff +7 -0
- replay.mp4 +3 -0
- sf_log.txt +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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replay.mp4 filter=lfs diff=lfs merge=lfs -text
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.summary/0/events.out.tfevents.1711738851.ip-172-31-37-173.ec2.internal
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.summary/0/events.out.tfevents.1711742223.ip-172-31-79-185.ec2.internal
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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library_name: sample-factory
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tags:
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- deep-reinforcement-learning
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- reinforcement-learning
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- sample-factory
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---
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A(n) **APPO** model trained on the **GDY-PowerGrid** environment.
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This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
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Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
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## Downloading the model
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After installing Sample-Factory, download the model with:
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+
```
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python -m sample_factory.huggingface.load_from_hub -r metta-ai/baseline.v0.0.2
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```
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## Using the model
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To run the model after download, use the `enjoy` script corresponding to this environment:
|
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+
```
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python -m <path.to.enjoy.module> --algo=APPO --env=GDY-PowerGrid --train_dir=./train_dir --experiment=baseline.v0.0.2
|
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+
```
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You can also upload models to the Hugging Face Hub using the same script with the `--push_to_hub` flag.
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See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
|
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## Training with this model
|
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|
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To continue training with this model, use the `train` script corresponding to this environment:
|
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+
```
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+
python -m <path.to.train.module> --algo=APPO --env=GDY-PowerGrid --train_dir=./train_dir --experiment=baseline.v0.0.2 --restart_behavior=resume --train_for_env_steps=10000000000
|
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+
```
|
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|
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+
Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.
|
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+
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checkpoint_p0/best_000017386_284852224_reward_0.545.pth
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version https://git-lfs.github.com/spec/v1
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checkpoint_p0/checkpoint_000025812_422903808.pth
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version https://git-lfs.github.com/spec/v1
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size 76479020
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checkpoint_p0/checkpoint_000026117_427900928.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:46b30eddbd863e948cb3b129c8044ebc48742131c4c971adb920c8ce7ccd97c0
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size 76479020
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config.json
ADDED
@@ -0,0 +1,322 @@
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|
1 |
+
{
|
2 |
+
"help": false,
|
3 |
+
"algo": "APPO",
|
4 |
+
"env": "GDY-PowerGrid",
|
5 |
+
"experiment": "b.a20.20x20_40x40.norm",
|
6 |
+
"train_dir": "/workspace/metta/train_dir",
|
7 |
+
"restart_behavior": "resume",
|
8 |
+
"device": "gpu",
|
9 |
+
"seed": null,
|
10 |
+
"num_policies": 1,
|
11 |
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"async_rl": true,
|
12 |
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"serial_mode": false,
|
13 |
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"batched_sampling": false,
|
14 |
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"num_batches_to_accumulate": 2,
|
15 |
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"worker_num_splits": 2,
|
16 |
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"policy_workers_per_policy": 1,
|
17 |
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"max_policy_lag": 50,
|
18 |
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"num_workers": 64,
|
19 |
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"num_envs_per_worker": 2,
|
20 |
+
"batch_size": 16384,
|
21 |
+
"num_batches_per_epoch": 1,
|
22 |
+
"num_epochs": 1,
|
23 |
+
"rollout": 256,
|
24 |
+
"recurrence": 256,
|
25 |
+
"shuffle_minibatches": false,
|
26 |
+
"gamma": 0.99,
|
27 |
+
"reward_scale": 1.0,
|
28 |
+
"reward_clip": 1000.0,
|
29 |
+
"value_bootstrap": false,
|
30 |
+
"normalize_returns": true,
|
31 |
+
"exploration_loss_coeff": 0.002,
|
32 |
+
"value_loss_coeff": 0.976,
|
33 |
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"kl_loss_coeff": 0.0,
|
34 |
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"aux_loss_coeff": 0.0,
|
35 |
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"exploration_loss": "symmetric_kl",
|
36 |
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"gae_lambda": 0.95,
|
37 |
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"ppo_clip_ratio": 0.1,
|
38 |
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"ppo_clip_value": 1.0,
|
39 |
+
"with_vtrace": false,
|
40 |
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"vtrace_rho": 1.0,
|
41 |
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"vtrace_c": 1.0,
|
42 |
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"optimizer": "adam",
|
43 |
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"adam_eps": 1e-06,
|
44 |
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"adam_beta1": 0.9,
|
45 |
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"adam_beta2": 0.999,
|
46 |
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"max_grad_norm": 4.0,
|
47 |
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"learning_rate": 0.0001,
|
48 |
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"lr_schedule": "constant",
|
49 |
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"lr_schedule_kl_threshold": 0.008,
|
50 |
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"lr_adaptive_min": 1e-06,
|
51 |
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"lr_adaptive_max": 0.01,
|
52 |
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"obs_subtract_mean": 0.0,
|
53 |
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"obs_scale": 1.0,
|
54 |
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"normalize_input": true,
|
55 |
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"normalize_input_keys": null,
|
56 |
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"decorrelate_experience_max_seconds": 150,
|
57 |
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"decorrelate_envs_on_one_worker": true,
|
58 |
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"actor_worker_gpus": [],
|
59 |
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"set_workers_cpu_affinity": true,
|
60 |
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"force_envs_single_thread": false,
|
61 |
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"default_niceness": 0,
|
62 |
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"log_to_file": true,
|
63 |
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"experiment_summaries_interval": 10,
|
64 |
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"flush_summaries_interval": 30,
|
65 |
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"stats_avg": 100,
|
66 |
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"summaries_use_frameskip": true,
|
67 |
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"heartbeat_interval": 20,
|
68 |
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"heartbeat_reporting_interval": 180,
|
69 |
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"train_for_env_steps": 10000000000,
|
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"train_for_seconds": 10000000000,
|
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"save_every_sec": 120,
|
72 |
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"keep_checkpoints": 2,
|
73 |
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"load_checkpoint_path": null,
|
74 |
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"init_checkpoint_path": null,
|
75 |
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"load_checkpoint_kind": "latest",
|
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"save_milestones_sec": -1,
|
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"save_best_every_sec": 5,
|
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"save_best_metric": "reward",
|
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"save_best_after": 100000,
|
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"benchmark": false,
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"encoder_mlp_layers": [
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],
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"encoder_conv_architecture": "convnet_simple",
|
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"encoder_conv_mlp_layers": [
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512
|
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],
|
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"use_rnn": true,
|
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"rnn_size": 512,
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"rnn_type": "gru",
|
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"rnn_num_layers": 1,
|
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"decoder_mlp_layers": [],
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"nonlinearity": "elu",
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"policy_initialization": "orthogonal",
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"policy_init_gain": 1.0,
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"actor_critic_share_weights": true,
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"adaptive_stddev": true,
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"continuous_tanh_scale": 0.0,
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"initial_stddev": 1.0,
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"use_env_info_cache": false,
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"env_gpu_actions": false,
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"pixel_format": "CHW",
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"use_record_episode_statistics": false,
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"episode_counter": false,
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"with_wandb": true,
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"wandb_user": "platypus",
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"wandb_project": "sample_factory",
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|
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"pbt_mix_policies_in_one_env": true,
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|
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|
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"pbt_replace_reward_gap_absolute": 1e-06,
|
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"pbt_optimize_gamma": false,
|
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"pbt_target_objective": "true_objective",
|
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"pbt_perturb_min": 1.1,
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],
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],
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],
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"env_cost:frozen": [
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190 |
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0,
|
191 |
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0
|
192 |
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],
|
193 |
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|
194 |
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5,
|
195 |
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40
|
196 |
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],
|
197 |
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|
198 |
+
5,
|
199 |
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40
|
200 |
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],
|
201 |
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"env_attack:freeze_duration": [
|
202 |
+
5,
|
203 |
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100
|
204 |
+
],
|
205 |
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|
206 |
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20.0
|
207 |
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],
|
208 |
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|
209 |
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32,
|
210 |
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32
|
211 |
+
],
|
212 |
+
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|
213 |
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20.0,
|
214 |
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40.0
|
215 |
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],
|
216 |
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|
217 |
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20.0,
|
218 |
+
40.0
|
219 |
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],
|
220 |
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"env_max_steps": [
|
221 |
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1000,
|
222 |
+
1000
|
223 |
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],
|
224 |
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"env_wall_density": [
|
225 |
+
0.01
|
226 |
+
],
|
227 |
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"env_milestone_density": [
|
228 |
+
0,
|
229 |
+
0.1
|
230 |
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],
|
231 |
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"env_num_altars": [
|
232 |
+
5.0
|
233 |
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],
|
234 |
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"env_num_chargers": [
|
235 |
+
10.0
|
236 |
+
],
|
237 |
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"env_num_generators": [
|
238 |
+
50.0
|
239 |
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],
|
240 |
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|
241 |
+
0,
|
242 |
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0
|
243 |
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],
|
244 |
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|
245 |
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0,
|
246 |
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0
|
247 |
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|
248 |
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|
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1000,
|
250 |
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1000
|
251 |
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|
252 |
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|
253 |
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0,
|
254 |
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0
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255 |
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],
|
256 |
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|
257 |
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|
258 |
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|
259 |
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|
260 |
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|
261 |
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"command_line": "--env_wall_density=0.01 --env_altar:cost=100 --env_cost:shield=0 --env_num_agents=20 --env_width=20:40 --env_height=20:40 --env_num_altars=5 --env_num_chargers=10 --env_num_generators=50 --normalize_input=True --aux_loss_coef=0 --recurrence=256 --rollout=256 --value_loss_coeff=0.976 --exploration_loss=symmetric_kl --exploration_loss_coeff=0.002 --policy_initialization=orthogonal --learning_rate=0.0001 --max_policy_lag=50 --nonlinearity=elu --load_checkpoint_kind=latest --rnn_num_layers=1 --rnn_size=512 --rnn_type=gru --agent_fc_layers=3 --agent_fc_size=512 --agent_embedding_size=64 --agent_embedding_layers=3 --with_wandb=True --wandb_user=platypus --wandb_project=sample_factory --batch_size=16384 --decorrelate_experience_max_seconds=150 --experiment=b.a20.20x20_40x40.norm --env=GDY-PowerGrid",
|
262 |
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"cli_args": {
|
263 |
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"env": "GDY-PowerGrid",
|
264 |
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"experiment": "b.a20.20x20_40x40.norm",
|
265 |
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"max_policy_lag": 50,
|
266 |
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"batch_size": 16384,
|
267 |
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"rollout": 256,
|
268 |
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"recurrence": 256,
|
269 |
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"exploration_loss_coeff": 0.002,
|
270 |
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"value_loss_coeff": 0.976,
|
271 |
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"aux_loss_coeff": 0.0,
|
272 |
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"exploration_loss": "symmetric_kl",
|
273 |
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"learning_rate": 0.0001,
|
274 |
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"normalize_input": true,
|
275 |
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"decorrelate_experience_max_seconds": 150,
|
276 |
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"load_checkpoint_kind": "latest",
|
277 |
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"rnn_size": 512,
|
278 |
+
"rnn_type": "gru",
|
279 |
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"rnn_num_layers": 1,
|
280 |
+
"nonlinearity": "elu",
|
281 |
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"policy_initialization": "orthogonal",
|
282 |
+
"with_wandb": true,
|
283 |
+
"wandb_user": "platypus",
|
284 |
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"wandb_project": "sample_factory",
|
285 |
+
"env_altar:cost": [
|
286 |
+
100.0
|
287 |
+
],
|
288 |
+
"env_cost:shield": [
|
289 |
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0.0
|
290 |
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],
|
291 |
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"env_num_agents": [
|
292 |
+
20.0
|
293 |
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],
|
294 |
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"env_width": [
|
295 |
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20.0,
|
296 |
+
40.0
|
297 |
+
],
|
298 |
+
"env_height": [
|
299 |
+
20.0,
|
300 |
+
40.0
|
301 |
+
],
|
302 |
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"env_wall_density": [
|
303 |
+
0.01
|
304 |
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],
|
305 |
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"env_num_altars": [
|
306 |
+
5.0
|
307 |
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],
|
308 |
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"env_num_chargers": [
|
309 |
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10.0
|
310 |
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],
|
311 |
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"env_num_generators": [
|
312 |
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50.0
|
313 |
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],
|
314 |
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"agent_fc_layers": 3,
|
315 |
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"agent_fc_size": 512,
|
316 |
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"agent_embedding_size": 64,
|
317 |
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"agent_embedding_layers": 3
|
318 |
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},
|
319 |
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"git_hash": "a9d0c93c1854a34c7dd674bf327bc59b9831e10a",
|
320 |
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"git_repo_name": "https://github.com/daveey/metta.git",
|
321 |
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"wandb_unique_id": "b.a20.20x20_40x40.norm_20240329_120046_450296"
|
322 |
+
}
|
git.diff
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
diff --git a/third_party/sample_factory b/third_party/sample_factory
|
2 |
+
index dfcb7ba..f7d3662 160000
|
3 |
+
--- a/third_party/sample_factory
|
4 |
+
+++ b/third_party/sample_factory
|
5 |
+
@@ -1 +1 @@
|
6 |
+
-Subproject commit dfcb7ba7274f4867f6d3238d7ea0ec84ddb5c28f
|
7 |
+
+Subproject commit f7d36626407b6e061fec0677a1e85931c17cdaef
|
replay.mp4
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:fb90060c6448e770d7f74d15c3a4ab78f9ead9f0896f1cd88408679ecb25a581
|
3 |
+
size 2424403
|
sf_log.txt
ADDED
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|
|