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Dear
I wonder if the **A3C-LSTM** actually implements **DRQN** but on A3C instead of DQN ( https://arxiv.org/pdf/1507.06527.pdf )
If not, then could you please share the details/reference?
Finally…
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Did anyone managed to get the A3C LSTM of this repo to work for Pong (using the openai gym)?
I have already tried several different optimizers, learning rates, network architectures, but still no …
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@miyosuda I have been trying to replicate your very nice Pong A3C-LSTM chart (https://github.com/miyosuda/async_deep_reinforce/blob/master/docs/graph_24h_lstm.png). So far unfortunately I have not rea…
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I'm trying to add a Basic LSTM layer after the conv2d layers on the [AC3 demo](https://github.com/tflearn/tflearn/blob/master/examples/reinforcement_learning/atari_1step_qlearning.py) but I get
``…
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I do have some code for a Stock Trading game that is using Deep Q ( just standard Deep Q Learning with Experience Play, but i would like to use A3C LSTM with Experience Play as per the research paper …
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Very sorry to ask you a simple question, thanks a lot.
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Hello, I train your code on health_gather_superme(master branch) which after 7400 episode but it still doesn't work.
Should I train more episode?
And I found the rnn_dev branch. The nework is A3C …
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Hi there,
I'm trying to integrate a memory network into an A3C agent. For reference, I followed closely this implementation of A3C: https://github.com/awjuliani/DeepRL-Agents/blob/master/A3C-Doom.i…
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Looking at a handful A3C implementations and results on Seaquest, they appear to score around 50K:
- https://gym.openai.com/evaluations/eval_pjjgc9POQJK4IuVw8nXlBw (ConvNet)
- https://gym.openai.com…
beniz updated
7 years ago
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### What happened + What you expected to happen
I've successfully trained a A3C agent using RLlib with incredible speed and reaching good rewards, unfortunately testing the saved agent with same trai…