change default training max_iteration.
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@@ -4,7 +4,7 @@ from isaaclab_rl.rsl_rl import RslRlOnPolicyRunnerCfg, RslRlPpoActorCriticCfg, R
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@configclass
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class PPORunnerCfg(RslRlOnPolicyRunnerCfg):
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num_steps_per_env = 24
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max_iterations = 150000
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max_iterations = 300000
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save_interval = 500
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experiment_name = "go2_rough"
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@@ -73,7 +73,7 @@ class MoECTSRunnerCfg(RslRlOnPolicyRunnerCfg):
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experiment_name = "go2_moe_cts"
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class_name = "OnPolicyRunnerCTS"
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num_steps_per_env = 24
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max_iterations = 150000
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max_iterations = 300000
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save_interval = 500
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policy = RslRlMoeCtsActorCriticCfg()
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algorithm = RslRlMoeCtsAlgorithmCfg()
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