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Keeping track of RL experiments

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It seems some of the parameters are outdated as the ray library updated. Can you specify the main library version somewhere?

Hi, Why is the dueling and double_q are both set to false [here](https://github.com/ray-project/rl-experiments/blob/b848a10c08da302febd860270e90672addc42ef5/atari-dqn/dueling-ddqn.yaml#L11)? Seems this is a redundant/old file as there is another file named `duel-ddqn.yaml` in the same folder...

Hi, can anyone explain the difference between train_batch_size and sample_batch_size, used [here](https://github.com/ray-project/rl-experiments/blob/b848a10c08da302febd860270e90672addc42ef5/atari-dqn/dist-dqn.yaml#L22)? I looked up this key for its explanation in [Common Parameters](https://docs.ray.io/en/master/rllib-training.html#common-parameters) and DQN [trainers](https://github.com/ray-project/ray/blob/master/rllib/agents/dqn/dqn.py) but couldn't fine one....

This seems to be a copy of `basic-dqn.yaml`, with the real DDQN config living in `duel-ddqn.yaml`.

This repo is really useful and I wonder whether there is any update on this? The tuned hyper-params save lots of our time! Thanks a lot!