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PFRL: a PyTorch-based deep reinforcement learning library

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Thank you for the excellent RL library. PFRL makes my life so much easy. As the management of the experiment becomes complicated, I have tried PFRL with MLFlow. And I'm...

enhancement

It seems not enabled right now, and manually rerunning the job has no effect. https://github.com/pfnet/pfrl/pull/98/checks?check_run_id=1451297003 > Skips the process to add reviewers/assignees since PR type is draft

# Abstract: `ActionValue` classes and backward hooks cause an error when used together. # Details Several pre-defined models in PFRL, such as `FCQuadraticStateQFunction`, return `ActionValue` from its forward function. However,...

Some tests still have `@pytest.mark.skip` annotation from pre-migration. These tests should be updated or removed.

Disclaimer: I am not completely sure if this is a bug of PFRL. When I ran SAC, and TD3 on my university's cluster without a GPU, I observed that memory...

It seems that the score of `train_dqn_gym.py` with `--actor-learner` is lower than the baseline score. the result of `train_dqn_gym.py` with `--actor-learner` ``` $python train_dqn_gym.py --env CartPole-v0 --gpu -1 --actor-learner $cat...

Add Double IQN with a double update (as in ChainerRL - https://github.com/chainer/chainerrl/blob/master/chainerrl/agents/double_iqn.py)