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Models/PPO gSDE

PPO gSDE

Reported on 9 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots3 results

Continuous ControlonPyBullet Ant
Return· 2020-05-12
2587
best: 3459 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719
Continuous ControlonPyBullet Walker2D
Return· 2020-05-12
1776
best: 2341 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719
Continuous ControlonPyBullet Hopper
Return· 2020-05-12
2508
best: 2646 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719

Methodology3 results

3DonPyBullet Ant
Return· 2020-05-12
2587
best: 3459 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719
3DonPyBullet Walker2D
Return· 2020-05-12
1776
best: 2341 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719
3DonPyBullet Hopper
Return· 2020-05-12
2508
best: 2646 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719

Medical3 results

3D Face ModellingonPyBullet Ant
Return· 2020-05-12
2587
best: 3459 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719
3D Face ModellingonPyBullet Walker2D
Return· 2020-05-12
1776
best: 2341 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719
3D Face ModellingonPyBullet Hopper
Return· 2020-05-12
2508
best: 2646 (SAC gSDE)
Smooth Exploration for Robotic Reinforcement Learning arXiv:2005.05719