testing bigger batch size

config/trainer_config.yaml

 
 WalkerDynamic:
     normalize: true
-    num_epoch: 3
-    time_horizon: 1000
-    batch_size: 2048
+    # learning_rate_schedule: constant
+    num_epoch: 6
+    time_horizon: 2048
+    batch_size: 4096
+    # learning_rate: 1.0e-3
     num_layers: 3
     hidden_units: 512
     reward_signals:
+
+# WalkerDynamic:
+#     normalize: true
+#     num_epoch: 3
+#     time_horizon: 1000
+#     batch_size: 2048
+#     buffer_size: 20480
+#     max_steps: 2e7
+#     # max_steps: 1e8
+#     summary_freq: 30000
+#     num_layers: 3
+#     hidden_units: 512
+#     reward_signals:
+#         extrinsic:
+#             strength: 1.0
+#             gamma: 0.995
 
 WalkerStatic:
     normalize: true