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CCIL's Robustness to Lipschitz Constraint

Simulation Experiments

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Mujoco and Metaworld

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F1Tenth

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MujocoMetaworld
HopperWalkerAntHalfcheetahCoffeePullButtonPressCoffeePushDrawerCloseMethodSuccess RateAvg. Score
Expert3234.304592.303879.7012135.004409.953895.824488.294329.34100.0%1.00
BC1983.98 ± 672.661922.55 ± 1410.092965.20 ± 202.711798.98 ± 791.893552.59 ± 233.413693.02 ± 104.991288.19 ± 746.373247.06 ± 468.7331.9%0.58 ± 0.25
MOReL152.19 ± 34.1270.27 ± 3.591000.77 ± 15.21-2.24 ± 0.0218.78 ± 0.0914.85 ± 17.0818.66 ± 0.021222.23 ± 1241.470.0%0.001 ± 0.001
MILO566.98 ± 100.32526.72 ± 127.991006.53 ± 160.43151.08 ± 117.06232.49 ± 110.44986.46 ± 105.79230.62 ± 19.374621.11 ± 39.680.0%0.21 ± 0.003
NoiseBC1563.56 ± 1012.022893.21 ± 1076.893776.65 ± 442.132044.24 ± 291.593072.86 ± 785.913663.44 ± 63.102551.11 ± 857.794226.71 ± 18.9039.3%0.62 ± 0.28
CCIL2631.25 ± 303.863538.48 ± 573.233338.35 ± 474.178893.81 ± 472.704168.46 ± 192.983775.22 ±91.242484.19 ± 976.034145.45 ± 76.2356.4%0.75 ± 0.25
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Drone

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F1Tenth

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Mujoco and Metaworld

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MethodSuccess RateAvg. ScoreMujocoMetaworld
HopperWalkerAntHalfcheetahCoffeePullButtonPressCoffeePushDrawerClose
Expert100.0%1.003234.304592.303879.7012135.004409.953895.824488.294329.34
BC31.9%0.58 ± 0.251983.98 ± 672.661922.55 ± 1410.092965.20 ± 202.711798.98 ± 791.893552.59 ± 233.413693.02 ± 104.991288.19 ± 746.373247.06 ± 468.73
MOReL0.0%0.001 ± 0.001152.19 ± 34.1270.27 ± 3.591000.77 ± 15.21-2.24 ± 0.0218.78 ± 0.0914.85 ± 17.0818.66 ± 0.021222.23 ± 1241.47
MILO0.0%0.21 ± 0.003566.98 ± 100.32526.72 ± 127.991006.53 ± 160.43151.08 ± 117.06232.49 ± 110.44986.46 ± 105.79230.62 ± 19.374621.11 ± 39.68
NoiseBC39.3%0.62 ± 0.281563.56 ± 1012.022893.21 ± 1076.893776.65 ± 442.132044.24 ± 291.593072.86 ± 785.913663.44 ± 63.102551.11 ± 857.794226.71 ± 18.90
CCIL56.4%0.75 ± 0.252631.25 ± 303.863538.48 ± 573.233338.35 ± 474.178893.81 ± 472.704168.46 ± 192.983775.22 ±91.242484.19 ± 976.034145.45 ± 76.23
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