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Hi @srivatsankrishnan , i'm having a similar issue to #1 : i'm able to connect, but the training won't start and I get a NotImplementedError. am I supposed to implement the step, reset etc. methods my…
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First of all, thanks for the amazing implementation, really helpful for understanding the DQN.
I'm curious about the results on the space invaders, it shows the avg 2772, while PER original paper sho…
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Have you managed to create a pong project yet?
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Hi Denny,
Thanks for this wonderful resource. It's been hugely helpful. Can you say what your results are when training the DQN solution? I've been unable to reproduce the results of the DeepMind p…
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Hello,
What is the purpose of changing the implementation of this from the native tf Saver (save_state) to save_variables?
Answering the TODO comment, some things are left out... Optimizer paramete…
huvar updated
5 years ago
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Hi,
Will you be providing any examples for real-world implementations of Pearl?
Thank you for creating this amazing project!
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How to fix this? I run the Example(train_fake.py) file with parameter of True & True
Traceback (most recent call last):
File "C:/Users/amit/PycharmProjects/dqnTrading/train_fake.py", line 40, in…
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As far as I understand it there is a typo in the following line: https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning/blob/424e58dc0a84fac07db3f624bb6f0bd3b96d3792/agent/agent.py#L50
`…
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In the module `stable_baselines.deepq.policies`, you have a lot of policies for DQN. This is **all very nice**, but Q-learning (and DQN) is an off-policy and value-based method, which means that we sh…
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Hi Haris! First of all thank you for putting in the effort of making poke-env.
I run your `rl_with_open_ai_gym_wrapper.py` and tried a bunch of other RL algorithms in keras-rl2 on the `play_against…