Antonin RAFFIN

>Thanks for the response. I am assuming the tensorboard logging issue for multiple-envs. has been resolved in SB3. For a more complete answer, you can use the "legacy" logging in...

>I don't think I was involved with this code, or if I was I've forgotten about it ;) Yes, that was me. But @AdamGleave has a better repo for imitation...

Hello, doc should be probably updated (but we having issues with travis now :/) Anyway, I would recommend you to use GAIL implementation from https://github.com/HumanCompatibleAI/imitation which is better maintained (and...

There is an non official version with tf2 support here if you want : https://github.com/hill-a/stable-baselines/issues/984

> TensorFlow 2 definitely needs to be supported. Nobody is going to use TF 1, if you have the opportunity to use TF 2. @nbro you should probably take a...

>given that TF seems to be a lot more used than PyTorch, although PyTorch is also used in research and, apparently, most people voted for PyTorch in your poll. We...

Hello, > Is it possible to add a beta distribution to the repository? This is not planned but we are opened to PR. Also, as for the huber loss (see...

I would say you need some hyperparameter tuning... The parameters present in the current implementation were tuned for gaussian policies, so it is not completely fair to compare them without...

The best practice would be to use hyperband or hyperopt to do it automatically (see https://github.com/araffin/robotics-rl-srl#hyperparameter-search). This [script](https://github.com/araffin/robotics-rl-srl/blob/master/rl_baselines/hyperparam_search.py) written by @hill-a can get you started. Otherwise, with PPO, the hyperparameters...

@antoine-galataud before submitting a PR, please look at the contribution guide https://github.com/hill-a/stable-baselines/pull/148 (that would save time ;)) It will be merged with master soon.