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Papers Benchmarks Datasets Tasks

DMControl dataset and benchmarks – Page 4 · SOTA2 Research

Research Datasets

DMControl

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Reinforcement Learning

DMControl walker-walk (random)

18.23Avg Normalized Score

6

DMControl-GB (video_hard)

335Episode Return

6

Ball In Cup Catch

DMControl GB (video_hard)

403Episode Return

6

Cartpole Swingup

DMControl-GB video_hard

429Episode Return

6

DMControl-GB video hard

834Return

6

DMControl-GB video_hard

381Episode Return

6

Continuous Control

DMControl Walker-Walk

904.2Cumulative Reward

5

Continuous Control

DMControl Cheetah-Run

731.6Performance Score

5

Reinforcement Learning

DMControl

995CartPole Balance

5

ball-in-cup-catch

DMControl

975.5Average Score

5

DMControl

978.1Average Score

5

finger-turn-hard

DMControl

717.5Average Score

5

finger-turn-easy

DMControl

824.4Average Score

5

DMControl

767.3Average Score

5

Online Reinforcement Learning

DMControl FingerSpin (final)

903.92Normalized Return

5

Visual Reinforcement Learning

DMControl Pendulum, Swingup (test)

792Episode Reward (ER)

5

Visual Reinforcement Learning

DMControl Walker Run (test)

485Environment Reward

5

Visual Reinforcement Learning

DMControl Hopper, Hop (test)

188ER

5

Reinforcement Learning Control

DMControl cheetah-run

838Return

4

Reinforcement Learning Control

DMControl dog-run

637Return

4

Reinforcement Learning Control

DMControl dog-walk

798Return

4

Reinforcement Learning Control

DMControl humanoid-run

584Return

4

Reinforcement Learning Control

DMControl humanoid-walk

868Return

4

Reinforcement Learning

DMControl WalkerRun v0 (train)

809.6Final Performance

4

Reinforcement Learning

DMControl CartThreePoles v0 (train)

190.2Final Performance Score

4

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Popular tasks

Reinforcement Learning Offline Reinforcement Learning Visual Reinforcement Learning Continuous Control Finger Spin

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