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.summary/0/events.out.tfevents.1720155218.Raghu-Laptop

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README.md

@@ -15,7 +15,7 @@ model-index:
       type: doom_health_gathering_supreme
     metrics:
     - type: mean_reward
-      value: 19.36 +/- 3.30
+      value: 20.53 +/- 1.40
       name: mean_reward
       verified: false
 ---

checkpoint_p0/best_000015017_61509632_reward_55.424.pth

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checkpoint_p0/checkpoint_000016993_69603328.pth

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checkpoint_p0/checkpoint_000017091_70004736.pth

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config.json

@@ -2,7 +2,7 @@
   "help": false,
   "algo": "APPO",
   "env": "doom_health_gathering_supreme",
-  "experiment": "default_experiment",
+  "experiment": "conv_resnet",
   "train_dir": "/home/raghu/DL/topics/RL/unit8B-AsyncPPO-SampleFactory/train_dir",
   "restart_behavior": "resume",
   "device": "gpu",
@@ -15,9 +15,9 @@
   "worker_num_splits": 2,
   "policy_workers_per_policy": 1,
   "max_policy_lag": 1000,
-  "num_workers": 16,
-  "num_envs_per_worker": 8,
-  "batch_size": 2048,
+  "num_workers": 8,
+  "num_envs_per_worker": 4,
+  "batch_size": 1024,
   "num_batches_per_epoch": 1,
   "num_epochs": 1,
   "rollout": 32,
@@ -65,7 +65,7 @@
   "summaries_use_frameskip": true,
   "heartbeat_interval": 20,
   "heartbeat_reporting_interval": 600,
-  "train_for_env_steps": 600000000,
+  "train_for_env_steps": 70000000,
   "train_for_seconds": 10000000000,
   "save_every_sec": 120,
   "keep_checkpoints": 2,
@@ -79,7 +79,7 @@
     512,
     512
   ],
-  "encoder_conv_architecture": "convnet_simple",
+  "encoder_conv_architecture": "resnet_impala",
   "encoder_conv_mlp_layers": [
     512
   ],
@@ -130,12 +130,16 @@
   "wide_aspect_ratio": false,
   "eval_env_frameskip": 1,
   "fps": 35,
-  "command_line": "--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=20000000",
+  "command_line": "--env=doom_health_gathering_supreme --experiment=conv_resnet --seed=200 --num_workers=8 --num_envs_per_worker=4 --batch_size=1024 --encoder_conv_architecture=resnet_impala --train_for_env_steps=5000000",
   "cli_args": {
     "env": "doom_health_gathering_supreme",
+    "experiment": "conv_resnet",
+    "seed": 200,
     "num_workers": 8,
     "num_envs_per_worker": 4,
-    "train_for_env_steps": 20000000
+    "batch_size": 1024,
+    "train_for_env_steps": 5000000,
+    "encoder_conv_architecture": "resnet_impala"
   },
   "git_hash": "unknown",
   "git_repo_name": "not a git repository"

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