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.summary/0/events.out.tfevents.1696695540.rhmmedcatt-proliant-ml350-gen10

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.summary/1/events.out.tfevents.1696695540.rhmmedcatt-proliant-ml350-gen10

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README.md

@@ -15,7 +15,7 @@ model-index:
       type: atari_alien
     metrics:
     - type: mean_reward
-      value: 372.00 +/- 246.77
+      value: 1007.00 +/- 73.36
       name: mean_reward
       verified: false
 ---
@@ -40,7 +40,7 @@ This model as with all the others in the benchmarks was trained asynchronously u
 
 The aim is to reach state of the art (SOTA) performance on each atari environment. I will flag the models with SOTA when they reach at or near these levels. 
 
-The hyperparameters used in the model are the sample-factory defaults which are: 
+The hyperparameters used in the model are the ones I have pushed to my fork of sample-factory: https://github.com/MattStammers/sample-factory
 ```
 hyperparameters =  {
   "device": "gpu",

checkpoint_p0/best_000099360_25436160_reward_34.420.pth

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checkpoint_p0/checkpoint_000119264_30531584.pth

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checkpoint_p1/best_000082304_21069824_reward_35.710.pth

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config.json

@@ -146,5 +146,5 @@
   },
   "git_hash": "5fff97c2f535da5987d358cdbe6927cccd43621e",
   "git_repo_name": "not a git repository",
-  "wandb_unique_id": "atari_alien_APPO_20231007_171513_616259"
+  "wandb_unique_id": "atari_alien_APPO_20231007_171858_185155"
 }

replay.mp4

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