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Reinforcement Learning on Acrobot

-82.5Average ReturnsDTSemNet
-174.228-150.414-126.6-102.786Jan 26, 2026Feb 12, 2026Mar 1, 2026Mar 18, 2026Apr 4, 2026Apr 21, 2026May 8, 2026

Evaluation results

MethodLinks
DTSemNetNf (Number of features)=6, Na (Number of actions)=3, Height=42026.05-82.5—
DGTNf (Number of features)=6, Na (Number of actions)=3, Height=42026.05-83.1—
VIPERNf (Number of features)=6, Na (Number of actions)=3, Height=42026.05-83.92—
Deep RLNf (Number of features)=6, Na (Number of actions)=3, Height=42026.05-84—
AC-SGDbatch size=1000, seeds=52026.01-86.2—
AC-Adambatch size=1000, seeds=52026.01-88.4—
ICCTNf (Number of features)=6, Na (Number of actions)=3, Height=42026.05-88.6—
AC-CGbatch size=1000, seeds=52026.01-93.3—
SMACbatch size=1000, seeds=52026.01-94.1—
AC-KFACbatch size=1000, seeds=52026.01-170.7—
A2CNumber of training seeds=5, Number of evaluation episodes=1002026.03—213.6
CG-FPDNumber of training seeds=5, Number of evaluation episodes=1002026.03—90.6
DF-CWP-CPNumber of training seeds=5, Number of evaluation episodes=1002026.03—78.67
DQNNumber of training seeds=5, Number of evaluation episodes=1002026.03—61.9
PPONumber of training seeds=5, Number of evaluation episodes=1002026.03—63.5