Continuous Control On Pybullet Ant
Metrics
Return
Results
Performance results of various models on this benchmark
Model Name | Return | Paper Title | Repository |
|---|---|---|---|
| PPO | 2160 | Smooth Exploration for Robotic Reinforcement Learning | - |
| A2C gSDE | 2560 | Smooth Exploration for Robotic Reinforcement Learning | - |
| PPO gSDE | 2587 | Smooth Exploration for Robotic Reinforcement Learning | - |
| A2C | 1967 | Smooth Exploration for Robotic Reinforcement Learning | - |
| SAC gSDE | 3459 | Smooth Exploration for Robotic Reinforcement Learning | - |
| SAC | 2859 | Smooth Exploration for Robotic Reinforcement Learning | - |
| TD3 gSDE | 3267 | Smooth Exploration for Robotic Reinforcement Learning | - |
| TD3 | 2865 | Smooth Exploration for Robotic Reinforcement Learning | - |
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