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qgallouedec / panda-gym

Set of robotic environments based on PyBullet physics engine and gymnasium.
MIT License
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Train files and parameter issues #27

Closed x124605437 closed 2 years ago

x124605437 commented 2 years ago

Dear author： I tested the Reach/PickAndPlace/Slide/Push tasks, only the PandaReach_v2 task converged，and the others failed to converge as in the paper（rXiv:2106.13687v2 [cs.LG] 19 Dec 2021）. Could you please show the relevant parameters for training these tasks? Here is a part of my test code in PickAndPlace:

model = DDPG（policy=“MultiInputPolicy”， env=env，batch_size= 2048， replay_buffer_class=HerReplayBuffer， verbose=1， buffer_size=1000000） model.learn（total_timesteps=10000000）

The result shows that the success rate is only 0.05

qgallouedec commented 2 years ago

Duplicate #21. I'm working on it.