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config.json

@@ -3,7 +3,7 @@
   "algo": "APPO",
   "env": "doom_health_gathering_supreme",
   "experiment": "default_experiment",
-  "train_dir": "/mnt/c/Users/salmamun/Desktop/train_dir",
+  "train_dir": "/content/train_dir",
   "restart_behavior": "resume",
   "device": "gpu",
   "seed": null,
@@ -15,8 +15,8 @@
   "worker_num_splits": 2,
   "policy_workers_per_policy": 1,
   "max_policy_lag": 1000,
-  "num_workers": 12,
-  "num_envs_per_worker": 10,
+  "num_workers": 8,
+  "num_envs_per_worker": 4,
   "batch_size": 1024,
   "num_batches_per_epoch": 1,
   "num_epochs": 1,
@@ -128,14 +128,14 @@
   "wide_aspect_ratio": false,
   "eval_env_frameskip": 1,
   "fps": 35,
-  "command_line": "--env=doom_health_gathering_supreme --num_workers=12 --num_envs_per_worker=10 --train_for_env_steps=4000000",
+  "command_line": "--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000",
   "cli_args": {
     "env": "doom_health_gathering_supreme",
-    "num_workers": 12,
-    "num_envs_per_worker": 10,
+    "num_workers": 8,
+    "num_envs_per_worker": 4,
     "train_for_env_steps": 4000000
   },
   "git_hash": "unknown",
   "git_repo_name": "not a git repository",
-  "train_script": ".home.salmamun.miniconda3.envs.hf.lib.python3.9.site-packages.ipykernel_launcher"
+  "train_script": ".usr.local.lib.python3.10.dist-packages.ipykernel_launcher"
 }