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Half Cheetah

Benchmarks

Task Name	Dataset Name	SOTA Result
Locomotion	Half Cheetah IID (test)	Mean Episode Reward2,278	24
Locomotion Control	Half Cheetah sigma 0.3 (test)	Episode Reward1,577	24
Locomotion Control	Half Cheetah sigma 0.7 (test)	Reward462	18
Locomotion Control	Half Cheetah sigma 0.5 (test)	Episode Reward1,117	18
Locomotion Control	Half Cheetah sigma 0.1 (test)	Episode Reward2,278	18
Offline Meta-Reinforcement Learning	Half-Cheetah-Vel sampled 10 unseen (test)	Average Return-48.4	10
Reinforcement Learning	Half-cheetah-velocity (train)	Runtime (hours)2	7
Robotic Control	Half Cheetah	AP-3.58	6
Locomotion	Half-Cheetah Across-episode Reward and Dynamics Changes A-EP (R+D) (test)	Average Final Return-15.2	6
Locomotion	Half-Cheetah Across-episode Reward Changes A-EP (R) (test)	Avg Final Return-10.9	6
Locomotion	Half-Cheetah Within-episode Dynamics Changes W-EP (D) (test)	Average Final Return-48.2	6
Locomotion	Half-Cheetah Across-episode Agent Changes A-EP (A) (test)	Average Final Return-9.6	6
Locomotion	Half-Cheetah Across-episode Dynamics Changes A-EP (D) (test)	Avg Final Return-24.4	6
Imitation Learning	Half-Cheetah	Mean Score1,839.8	6
Locomotion	Half Cheetah sigma=0.7	Reward482	6
Locomotion	Half Cheetah sigma=0.5	Reward669	6
Locomotion	Half Cheetah sigma=0.1	Reward834	6
Trajectory Optimization	Half Cheetah	Computational Time (s)26.4	5
Reinforcement Learning	half-cheetah 10-p	Normalized Return80.5	4
Reinforcement Learning	half-cheetah 2-p	Normalized Return44.9	4
Reinforcement Learning	half-cheetah 4-p	Normalized Return54.7	4
Long-horizon prediction	Half Cheetah	NLL-2.8	4
Locomotion	Half-Cheetah Continuous Dynamics Changes CONT (D) (test)	Avg Final Return-12.3	4
Locomotion	Half Cheetah	Metric-	0

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