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Reinforcement Learning on Inv-DPendulum

Reinforcement Learning on Inv-DPendulum

1,000DecisionsTD3

Updated 8mo ago

Evaluation results

Method	Links
TD32023.05		1,000	124.7
TempoRL2023.05		850.95	213.59
TLA2023.05		247.76	57.46

State-of-the-art paper

TD3

Addressing Function Approximation Error in Actor-Critic Methods

Dataset

Inv-DPendulum

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Related benchmarks

Continuous Control on MountainCar Continuous Control on Hopper (Normalized AUC & Average Return)Continuous Control on HalfCheetah Continuous Control on Pendulum (Action Quality)Reinforcement Learning on Pendulum (Efficiency Metrics)

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