D4RL Walker2d

Benchmarks

Task Name	Dataset Name	SOTA Result
Offline Reinforcement Learning	D4RL Walker2d Medium v2	Normalized Return94.2	67
Locomotion	D4RL Walker2d medium-offline	Normalized Score37.45	36
Offline Reinforcement Learning	D4RL walker2d medium-replay v2	Normalized Score100.6	36
Offline Reinforcement Learning	D4RL Walker2D Expert	Mean Normalized Score117.4	30
Locomotion Control	D4RL Walker2d medium-expert	Normalized Return111.2	23
Offline Reinforcement Learning	D4RL Walker2d Medium	Normalized Avg Return87.7	18
Continuous Control	D4RL Walker2d medium	Normalized Return81.9	14
Offline Reinforcement Learning	D4RL Walker2d Med-Replay	Normalized Average Return82.6	11
Offline Behavior Distillation	D4RL Walker2D (medium-expert)	Normalized Return109	8
Offline Behavior Distillation	D4RL Walker2D medium	Normalized Return84	8
Offline Reinforcement Learning	D4RL Walker2d Simultaneous Random Corruption	Average Score23.62	8
Offline Reinforcement Learning	D4RL Walker2d Stochastic MuJoCo (Mixed)	Mean Return450	8
Offline Policy Evaluation	D4RL Walker2d medium	RMSE149	7
Offline Reinforcement Learning	D4RL Walker2d random v0	Return412	6
Continuous Control	D4RL Walker2d expert	Normalized Return125.7	5
Offline Inverse Reinforcement Learning	D4RL Walker2d Medium-Expert v2	Cumulative Reward4,049.43	4
Offline Inverse Reinforcement Learning	D4RL Walker2d Medium v2	Cumulative Reward4,121.68	4
Locomotion	D4RL Walker2d-expert	Normalized Score (100k Steps)120.35	3
Locomotion	D4RL walker2d medium v2	Normalized Return102.9	2
Off-policy Evaluation	D4RL Walker2D-medium-expert	RMAE0.252	2

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