Continuous Control on PyBullet Ant

Metric: Return (higher is better)

LeaderboardDataset

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#	Model↕	Return▼	Extra Data	Paper	Date↕	Code
1	SAC gSDE	3459	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code
2	TD3 gSDE	3267	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code
3	TD3	2865	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code
4	SAC	2859	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code
5	PPO gSDE	2587	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code
6	A2C gSDE	2560	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code
7	PPO	2160	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code
8	A2C	1967	No	Smooth Exploration for Robotic Reinforcement Lea...	2020-05-12	Code

#1SAC gSDESOTA
3459
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code
#2TD3 gSDE
3267
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code
#3TD3
2865
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code
#4SAC
2859
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code
#5PPO gSDE
2587
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code
#6A2C gSDE
2560
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code
#7PPO
2160
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code
#8A2C
1967
Return· 2020-05-12
Smooth Exploration for Robotic Reinforcement Learning Code