v0.1.9; wait robogauge eval after all training; ppo default train 150k, add yaml cfg save
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@@ -393,6 +393,9 @@ class LeggedRobotCfgREMCTS(LeggedRobotCfgCTS):
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expert_num = 8 # number of experts in the student model
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student_encoder_hidden_dims = [512, 256, 128]
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class algorithm(LeggedRobotCfgCTS.algorithm):
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load_balance_coef = 0.01 # coefficient for load balance loss
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class runner(LeggedRobotCfgCTS.runner):
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policy_class_name = 'ActorCriticREMCTS'
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algorithm_class_name = 'REMCTS'
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