-
We've written our own environment and are trying to run the deepq algorithm with a discrete action space of 7 actions. However, regardless of how we construct our rewards, we're noticing that when we …
-
Continuation on the discussion in #312 related to improving save file format.
**Issue with current way of storing/loading models**
* Cloudpickle can have issues with different version of Python (m…
-
Hey, I'm trying to visualize model trained with
```
python -m baselines.run --alg=deepq --env=PongNoFrameskip-v4 --num_timesteps=1e4 --save_path=~/models/pong_10K_deepq
```
by loading saved model…
-
Being as researchers, we thought to extend your this work further but we are facing an error after running your code on our GPU, could you please help us to overcome this error? we will be thankful to…
-
Hello, this is my first issue.
I tried using own URDF(like car) and reinforcement learning on pybullet.
This task is that the car reach a target.
When training episode is 69, I got this error `Ca…
-
I'm having trouble running some of the AI deep Qlearning examples for pybullet. It appears some of these demo files are a little out of date. Take for example train_pybullet_cartpole.py:
https://gith…
-
model = deepq.learn(
env,
"conv_only",
convs=[(32, 8, 4), (64, 4, 2), (64, 3, 1)],
hiddens=[256],
dueling=True,
lr=1e-4,
total_timesteps…
-
Hello,
I must thank you from the bottom of my heart! This plug in is absolutely fantastic and I have been playing with it for a couple weeks now. Amazing job and I can't thank you enough for publis…
-
DeepQ-Learning.zip password?
Thanks
-
It seems like baselines is not directly implemented to deal with `Box()` type action spaces. This same exact code works for the `CartPole` environment. It fails on `FetchReach-v1`. Here is the code…