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Reinforcement Learning on InvertedPendulum v2

1,000Mean RewardTTOpt
-19.824244.938509.7774.462Apr 30, 2022Dec 25, 2022Aug 21, 2023Apr 16, 2024Dec 11, 2024Aug 7, 2025Apr 4, 2026

Evaluation results

MethodLinks
TTOptMode size (N)=32022.041,0000
TTOptMode size (N)=2^82022.041,0000
Delay-free SACDelta=02026.04964.3—
D2HPGDelta=52026.04949.8—
BPQLDelta=52026.04945.5—
D2HPGDelta=102026.04937.3—
Augmented SACDelta=52026.04935.7—
Augmented SACDelta=102026.04932.2—
Delayed SACDelta=52026.04925.5—
BPQLDelta=102026.04919.7—
GAMode size (N)=32022.04893283.1
VDPODelta=52026.04764.5—
CMAESMode size (N)=32022.04721335.37
Delayed SACDelta=102026.04714.2—
OPENESMode size (N)=32022.04651.86436.37
D2HPGDelta=202026.04637.3—
CMAESMode size (N)=2^82022.04621472.81
VDPODelta=102026.04597.3—
BPQLDelta=202026.04568.1—
Augmented SACDelta=202026.04340.7—
OPENESMode size (N)=2^82022.04224.71217.51
GAMode size (N)=2^82022.04222.86342.79
Delayed SACDelta=202026.0467.7—
Naive SACDelta=52026.0432.1—
Naive SACDelta=202026.0424.3—
Naive SACDelta=102026.0420.7—
VDPODelta=202026.0419.4—