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I am trying to run a "new-style" gym, i.e. one that returns a dictionary of `observation, desired_goal, achieved_goal` in the `ddpg` baseline. If I attempt to use the `evaluation` option, the program …
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Hi @dgriff777 , thanks for your repo. Was wondering if you might be able/interested to add a 2D convolution model (i.e. using `Conv2D` as opposed to `Conv1D` like is in [`A3C_CONV`](https://github.co…
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I seem to get very good results with your current A3C demo. I was wondering if you had any plans on implementing an example of the continuous A3C as documented here. https://arxiv.org/abs/1602.01783
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It seems the PyTorch Mnist hogwild example has been updated now, as gradients are now allocated lazily.
I think this means that this part of you code is no longer required?
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[Question1]
In model.py, [line 107 - 117](https://github.com/wing3s/pysc2-rl-mini/blob/master/model.py#L107):
The following layer's weight was initalized by xavier init but at line 111 they are also…
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### System information
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:Linux Ubuntu 16.04
- **Ray installed from (source or binary)**:Source
- **Ray version**:0.4.0
- **Python ve…
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In a recent update we observed an important performance fall in the backward phase on all our projects.
We used this [benchmark](https://github.com/bit-ml/tensor-benchmarks/blob/master/nn_benchmark…
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I just tried to follow the instructions in the repo, and tested models trained but got a fairly low accuracy. I'm using pyTorch 0.1.12_1. Is there anything I should pay attention to?
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Slightly baffled by this:
Traceback (most recent call last):
File "/home/bob/anaconda3/envs/rl_env/lib/python3.5/multiprocessing/process.py", line 252, in _bootstrap
self.run()
File "/ho…
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Hi,
Thanks for the code. I was wondering if there is a GPU version of the A3C algorithm in PyTorch. I notice that the hogwild! example in PyTorch is the CPU version.
For your reference, I've fou…