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MuJoCo Hopper

Benchmarks

Task Name	Dataset Name	SOTA Result
Reinforcement Learning	MuJoCo Hopper v2	Average Return4,408	18
Continuous Control	MuJoCo Hopper logarithmic adversary v1	Average Performance Score2,577	12
Continuous Control	MuJoCo Hopper H=20	Normalized Return33.3	10
Continuous Control	MuJoCo Hopper H=10	Normalized Return13.2	10
Offline Reinforcement Learning	MuJoCo Hopper Medium-Replay v2	Avg Normalized Score100.02	8
Offline Reinforcement Learning	MuJoCo Hopper Medium-Expert v2	Avg Normalized Score107	7
Offline Reinforcement Learning	MuJoCo Hopper Medium v2	Averaged Normalized Score102	7
Continuous Control	MuJoCo Hopper 2-p v4	Normalized Return106	6
Continuous Control	MuJoCo Hopper 4-p v4	Normalized Return99	6
Continuous Control	MuJoCo Hopper v2 (train)	Mean Return3,713	6
Reinforcement Learning	MuJoCo Hopper epsilon=0.075 (test)	Natural Return3,684	5
Offline Inverse Reinforcement Learning	MuJoCo hopper (medium-exp)	Average Reward3,512.09	5
Offline Inverse Reinforcement Learning	MuJoCo hopper (medium-replay)	Average Reward3,512.09	5
Offline Inverse Reinforcement Learning	MuJoCo hopper medium	Average Reward3,512.09	5
Continuous Control	MuJoCo Hopper v3 (1M steps)	Average Return3,687	5
Continuous Control	MuJoCo Hopper v3 (500K steps)	Average Return3,548	5
Policy Optimization	MuJoCo Hopper H=40	Return71	5
Continuous Control	MuJoCo Hopper (H=40)	Normalized Return71	5
Dynamics Model Prediction	MuJoCo Hopper medium-replay v2 (test)	RMSE0.408	4
Dynamics Model Prediction	MuJoCo Hopper expert v2 (test)	RMSE0.322	4
Dynamics Model Prediction	MuJoCo Hopper medium v2 (train)	RMSE0.034	4
Policy Gradient	MuJoCo Hopper (final 20 iterations)	Average Return185.9	3
Continuous control locomotion	MuJoCo Hopper v3 (train)	Avg Performance (1M Steps)2,544	2
Reinforcement Learning	MuJoCo Hopper v4	Metric-	0

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