reinforcement-learning
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rlcode
Minimal and Clean Reinforcement Learning Examples
- Avoid using sys.exit() - Use a boolean instead Indeed, sys.exit() unexpectedly kills python, rather than properly stopping the script.
Hi all, Thanks for your amazing project! I have a question. If I want to add dropout into the network for policy gradient, how can I do that? I think...
Just want to know if it makes sense to apply the tech in https://github.com/rlcode/reinforcement-learning/blob/master/2-cartpole/3-reinforce/cartpole_reinforce.py#L45 to a3c implementations, for cartpole and breakout? Thanks.
The url is embedded in the given line: > Minimal and clean examples of reinforcement learning algorithms presented by [RLCode](https://rlcode.github.io/) team.
Hi. Really nice job. This is the most readable and "easiest" code I found for the A3C implementation. With regular tensorflow on CPU the code is working fine, but with...
I tried to run Pong Policy Gradient for 2000 episodes on the original file with no results whatsoever. Then boosted reward for positive points (points scored by the learner(right side)...
First, thanks for making this. It's very easy to get started with and has really helped me move things forward on a personal project of mine I've been struggling with...
Dear Do you have any tutorial for your code listed in this github ? or have you created your tutorial for your code ? Thx
Hi, First of all I just want to say awesome work on the library overall, really love the concept :+1: I have an issue where cartpole_a3c will converge relatively quickly...
