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Continuous Control Reinforcement Learning on DeepMind Control Suite (test)

917.4Cheetah RunSAC
566.296657.448748.6839.752Aug 22, 2022Feb 28, 2023Sep 7, 2023Mar 15, 2024Sep 22, 2024Mar 31, 2025Oct 8, 2025

Evaluation results

MethodLinks
SACBackpropagation usage=w/ back-prop2025.10917.4—319.46———980.01895.02980.43———
ARQBackpropagation usage=w/o back-prop2025.10880.61—516.23———973.66771.15976.33———
PERevaluation episodes=10, random seeds=5, inputs=proprioceptive2022.08831.87975.4217.35496.42766.3981.58935.08755.49957.38———
ADBackpropagation usage=w/o back-prop2025.10831.57—470.95———955.93762.51975.3———
TD-MPC2Backpropagation usage=w/ back-prop2025.10808.46—348.55———934.84834.07958.8———
BASELINEevaluation episodes=10, random seeds=5, inputs=proprioceptive2022.08761.89966.68264.75612.67831.92983.06955.08759.13943.67———
ReLoevaluation episodes=10, random seeds=5, inputs=proprioceptive2022.08660.29978.78247.81833.92942.64979.08956.8795.14963.28———
LABERevaluation episodes=10, random seeds=5, inputs=proprioceptive2022.08579.8884.4690.85544.8716.61947.2951.08551.81863.89———
DrQ-Random ViewBackbone=DrQ, Sensory control strategy=Random View, Peripheral observation=false2023.06—————————0.5690.5910.768
DrQ-Raster ScanningBackbone=DrQ, Sensory control strategy=Raster Scanning, Peripheral observation=false2023.06—————————0.6090.5660.913
DrQ-Single PolicyBackbone=DrQ, Sensory modeling=Joint modeling, Peripheral observation=false2023.06—————————0.540.570.776
SUGARL w/o Joint LearningBackbone=DrQ, Joint Learning=false, Peripheral observation=false2023.06—————————0.3770.4460.355
SUGARL-DrQBackbone=DrQ, Peripheral observation=false2023.06—————————0.6860.7171.052
SUGARL-DrQ w/o PVMBackbone=DrQ, Partial Visual Memory (PVM)=false, Peripheral observation=false2023.06—————————0.6720.620.93