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Mountain Car dataset and benchmarks · SOTA2 Research

Research Datasets

Mountain Car

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Continuous Control

Mountain Car POMDP

26.96Mean Performance

30

Mountain Car

29.97Mean Return

20

Mountain Car

0.15Robustness Gap

12

Dynamics Modeling

Mountain Car

0Generalization Error (rho)

9

Transition model estimation

Mountain Car discretized n = 10^6

0Failure Count

8

Reinforcement Learning

Mountain Car (MC)

-41.98Return (Selected)

6

MCTS Aggregation Strategy Evaluation

Mountain Car

1MRR

6

Mountain Car held-out domains random mountain heights (test)

0Avg. Failure Rate

6

Reinforcement Learning

Mountain Car

91.3Return

5

Mountain Car

116.7Objective Value

5

Reinforcement Learning

Mountain Car v0

98.3Steps to Goal

5

Safe Reinforcement Learning

mountain-car Static dynamics

0Mean Shield Invocations per Episode

3

Reinforcement Learning

Mountain Car standard (test)

4Episode Length

2

Optimal Control

Mountain Car

34.63Final Cost

2

End-to-end learning and planning

Mountain Car

8.57Cost (Best)

1

Popular tasks

Reinforcement Learning Mountain Car Dynamics Modeling Optimal Control Continuous Control

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