reward | Reinforcement Learning in PyTorch | Reinforcement Learning library
kandi X-RAY | reward Summary
kandi X-RAY | reward Summary
Reinforcement Learning in PyTorch.
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Top functions reviewed by kandi - BETA
- Runs an environment .
- Train the model .
- Create worker processes .
- Main function for QValueNN .
- Get a batch of data .
- Calculate the sum of squares .
- Populates the ReplayBuffer .
- Initialize a new section .
- Print a table of tags .
- Get a space .
reward Key Features
reward Examples and Code Snippets
Community Discussions
Trending Discussions on reward
QUESTION
I have two dataframes and a rather tricky join to accomplish.
The first dataframe:
...ANSWER
Answered 2022-Mar-28 at 20:34I think you have a couple different options
- You can create a dictionary and use
map
- You can convert the lists to a string and use
replace
Option 1
QUESTION
I'm learning about policy gradients and I'm having hard time understanding how does the gradient passes through a random operation. From here: It is not possible to directly backpropagate through random samples. However, there are two main methods for creating surrogate functions that can be backpropagated through
.
They have an example of the score function
:
ANSWER
Answered 2021-Nov-30 at 05:48It is indeed true that sampling is not a differentiable operation per se. However, there exist two (broad) ways to mitigate this - [1] The REINFORCE way and [2] The reparameterization way. Since your example is related to [1], I will stick my answer to REINFORCE.
What REINFORCE does is it entirely gets rid of sampling operation in the computation graph. However, the sampling operation remains outside the graph. So, your statement
.. how does the gradient passes through a random operation ..
isn't correct. It does not pass through any random operation. Let's see your example
QUESTION
I am trying to create a timer app which have multiple countdown timer for different task. Issue, I am facing is that, if I start one timer, and press back button, timer stops. So I want, that timer to run till either it is being paused or timer ends and alerts the user or app is destroyed. Help me how can I do this using Flutter? Any Sample Code Will be Appreciated? Solution will be rewarded
...ANSWER
Answered 2022-Mar-19 at 03:23When you pop back, any "state" in the widget will be destroyed.
There are three kinds of method you can do to prevent "state" being destroyed (or memory release):
- Using static property
- Using state manager by Provider
- Using state manager by static instance
There are still many method to manage your state, but not mention here, see details in this repo
Static propertyStatic property is something like variable outside your class, like:
QUESTION
I'm new to admob. I published my first android app (written in expo react-native). I followed the instructions https://docs.expo.dev/versions/latest/sdk/admob/ on including admob ads in my app. But after sometime of including the ad Ids for Banner Ad, Interstitial Ad and Reward Ad I get this message "Ad serving is limited The number of ads you can show has been limited. For details, go to the Policy center" in my admob account.
It says "Invalid traffic concerns". I followed the below links but it didn't help me resolve it
https://support.google.com/admob/answer/3342099?hl=en https://oko.uk/blog/ad-serving-has-been-limited
Resolutions I followed but none of these helped
Removed all 3 ads i,e, Banner Ad, Interstitial Ad and Reward Ad. After waiting for couple of days (5 days or so) this message was removed. After one day I again created these ads and implemented their Ids in my app and released it on Google Play Store. Ads did not show in my app but still, after 2 days I again got this "invalid traffic concerns" message on my account.
Implemented frequency capping for the ads but that didn't help. Ads are not showing on my app yet.
I've implemented ads.txt properly.
I've added the payment details on the account.
Implemented the test ad Ids and they worked. But when replaced with real Ad Ids they don't work.
None of these helped me. Please let me know how to proceed on this.
By the way, this is my app - https://play.google.com/store/apps/details?id=com.starcoding.matchmeifucan_cow_bull
Thanks.
...ANSWER
Answered 2021-Nov-10 at 14:20So I installed your app but I cannot see any ads because the ads limitation, so here some general advice about AdMob Ads to avoid limiting your ad serving:
- avoid clicking on your own ads, and tell your friends and family not to click on the ads (this is very important)
- if your app have very small traffic, consider removing ads until you have decent number of active users so no small group of people could affect your ads then activate ads
- make sure that you are pre loading interstitial ads before showing them
- if you are using interstitial ad when users open the app, consider using App Open Ads
- make sure that banner ads does not obscure any content of your app (to avoid accidental clicks)
- when you want to make cab limit, make it 1 ad every 10 minutes for example, always make the first value 1 ad per a period of time, to avoid repeating ads.
QUESTION
I am trying to set a Deep-Q-Learning agent with a custom environment in OpenAI Gym. I have 4 continuous state variables with individual limits and 3 integer action variables with individual limits.
Here is the code:
...ANSWER
Answered 2021-Dec-23 at 11:19As we talked about in the comments, it seems that the Keras-rl library is no longer supported (the last update in the repository was in 2019), so it's possible that everything is inside Keras now. I take a look at Keras documentation and there are no high-level functions to build a reinforcement learning model, but is possible to use lower-level functions to this.
- Here is an example of how to use Deep Q-Learning with Keras: link
Another solution may be to downgrade to Tensorflow 1.0 as it seems the compatibility problem occurs due to some changes in version 2.0. I didn't test, but maybe the Keras-rl + Tensorflow 1.0 may work.
There is also a branch of Keras-rl to support Tensorflow 2.0, the repository is archived, but there is a chance that it will work for you
QUESTION
I am developing game, which guesses number and get reward if they success. This is summary of my program. First, user send amount of sol and his guessing number. Second, Program get random number and store user's sol to vault. Third, Program make random number, if user is right, gives him reward.
Here, how can I check if the user sent correct amount of sol in program?
This is test code for calling program.
...ANSWER
Answered 2022-Jan-15 at 11:56The best solution would be to directly transfer the lamports inside of your program using a cross-program invocation, like this program: Cross-program invocation with unauthorized signer or writable account
Otherwise, from within your program, you can check the lamports
on the AccountInfo
passed, and make sure it's the proper number, similar to this example: https://solanacookbook.com/references/programs.html#transferring-lamports
The difference there is that you don't need to move the lamports.
QUESTION
I was trying to claim the staked $Aurora rewards with NEAR-CLI by following this medium article but when I run the command:
NEAR_ENV=mainnet near call aaaaaa20d9e0e2461697782ef11675f668207961.factory.bridge.near storage_deposit ‘’ --accountId bailey12.near --amount 0.0125
The terminal displayed:
...ANSWER
Answered 2022-Feb-07 at 17:08Use proper single quote ' instead of ’
QUESTION
I have this custom callback to log the reward in my custom vectorized environment, but the reward appears in console as always [0] and is not logged in tensorboard at all
...ANSWER
Answered 2021-Dec-25 at 01:10You need to add [0]
as indexing,
so where you wrote self.logger.record('reward', self.training_env.get_attr('total_reward'))
you just need to index with self.logger.record('reward', self.training_env.get_attr ('total_reward')[0]
)
QUESTION
I'm learning AI and machine learning, and I found a difficulty. My CSV dataset has two important columns which are dictionary themselves, e.g. one of them is categories which presents the info in each row like this {"id":252,"name":"Graphic Novels"...}
, I'd like to explode this data so it shows in individual columns, for example cat_id, cat_name...
so I can apply filters later.
I guess there are some options in Python and Pandas but I can't see it right now. I'll appreciate your guidance.
Edit: I took the first ten rows in Excel, copied them to a new document and then opened the new csv document in notepad, copied the first ten lines in notepad and pasted them here, the document can be found in my gdrive :
...ANSWER
Answered 2021-Dec-18 at 15:20Hello try this.
QUESTION
i was trying to set up simple ad system in my game in unity but the rewarded ads script from unity documentation is giving me invalid token error and i have no idea why
...ANSWER
Answered 2021-Dec-14 at 18:08The documentation is extremely misleading in this case!
You can't just reassign a field on class level. Especially not using other non constant fields! You can't have this outside of any method.
This is probably supposed to happen in a method like e.g. in Awake
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Install reward
You can use reward like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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