v0.1.6; add rem-cts
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@@ -1,7 +1,7 @@
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from legged_gym import LEGGED_GYM_ROOT_DIR, LEGGED_GYM_ENVS_DIR
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from legged_gym.envs.go2.go2_env import Go2Robot
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from legged_gym.envs.go2.go2_config import GO2Cfg, GO2CfgPPO, GO2CfgCTS, GO2CfgMoECTS, GO2CfgMCPCTS, GO2CfgACMoECTS, GO2CfgDualMoECTS
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from legged_gym.envs.go2.go2_config import GO2Cfg, GO2CfgPPO, GO2CfgCTS, GO2CfgMoECTS, GO2CfgMCPCTS, GO2CfgACMoECTS, GO2CfgDualMoECTS, GO2CfgREMCTS
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from .base.legged_robot import LeggedRobot
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from legged_gym.utils.task_registry import task_registry
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@@ -12,3 +12,4 @@ task_registry.register("go2_moe_cts", Go2Robot, GO2Cfg(), GO2CfgMoECTS())
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task_registry.register("go2_mcp_cts", Go2Robot, GO2Cfg(), GO2CfgMCPCTS())
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task_registry.register("go2_ac_moe_cts", Go2Robot, GO2Cfg(), GO2CfgACMoECTS())
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task_registry.register("go2_dual_moe_cts", Go2Robot, GO2Cfg(), GO2CfgDualMoECTS())
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task_registry.register("go2_rem_cts", Go2Robot, GO2Cfg(), GO2CfgREMCTS())
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@@ -384,4 +384,13 @@ class LeggedRobotCfgDualMoECTS(LeggedRobotCfgCTS):
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class runner(LeggedRobotCfgCTS.runner):
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policy_class_name = 'ActorCriticDualMoECTS'
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algorithm_class_name = 'DualMoECTS'
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algorithm_class_name = 'DualMoECTS'
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class LeggedRobotCfgREMCTS(LeggedRobotCfgCTS):
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class policy(LeggedRobotCfgCTS.policy):
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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 runner(LeggedRobotCfgCTS.runner):
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policy_class_name = 'ActorCriticREMCTS'
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algorithm_class_name = 'REMCTS'
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@@ -1,5 +1,5 @@
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import math
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from legged_gym.envs.base.legged_robot_config import LeggedRobotCfg, LeggedRobotCfgPPO, LeggedRobotCfgCTS, LeggedRobotCfgMoECTS, LeggedRobotCfgMoECTS, LeggedRobotCfgMCPCTS, LeggedRobotCfgACMoECTS, LeggedRobotCfgDualMoECTS
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from legged_gym.envs.base.legged_robot_config import LeggedRobotCfg, LeggedRobotCfgPPO, LeggedRobotCfgCTS, LeggedRobotCfgMoECTS, LeggedRobotCfgMoECTS, LeggedRobotCfgMCPCTS, LeggedRobotCfgACMoECTS, LeggedRobotCfgDualMoECTS, LeggedRobotCfgREMCTS
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class GO2Cfg(LeggedRobotCfg):
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class init_state(LeggedRobotCfg.init_state):
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@@ -295,3 +295,13 @@ class GO2CfgDualMoECTS(LeggedRobotCfgDualMoECTS):
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experiment_name = 'go2_dual_moe_cts'
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max_iterations = 150000
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save_interval = 500
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class GO2CfgREMCTS(LeggedRobotCfgREMCTS):
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class policy(LeggedRobotCfgREMCTS.policy):
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expert_num = 8 # number of experts in the student model
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class runner(LeggedRobotCfgREMCTS.runner):
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run_name = ''
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experiment_name = 'go2_rem_cts'
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max_iterations = 150000
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save_interval = 500
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