chore: import upstream snapshot with attribution

2026-07-13 13:17:40 +08:00
commit f1825c8ceb
10096 changed files with 2364182 additions and 0 deletions
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+# @OldAPIStack
+# This can reach 18-19 reward in ~3 minutes on p3.16xl head w/m4.16xl workers
+#   128 workers -> 3 minutes (best case)
+#    64 workers -> 4 minutes
+#    32 workers -> 7 minutes
+# See also: pong-impala.yaml, pong-impala-vectorized.yaml
+pong-impala-fast:
+    env: ale_py:ALE/Pong-v5
+    run: IMPALA
+    config:
+        # Make analogous to old v4 + NoFrameskip.
+        env_config:
+            frameskip: 1
+            full_action_space: false
+            repeat_action_probability: 0.0
+        rollout_fragment_length: 50
+        train_batch_size: 1000
+        num_env_runners: 128
+        num_envs_per_env_runner: 5
+        broadcast_interval: 5
+        max_sample_requests_in_flight_per_worker: 1
+        num_multi_gpu_tower_stacks: 4
+        num_gpus: 2
+        model:
+          dim: 42