reward | Reinforcement Learning in PyTorch | Reinforcement Learning library

 by   lgvaz Python Version: 0.0.4 License: MIT

kandi X-RAY | reward Summary

kandi X-RAY | reward Summary

reward is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Pytorch applications. reward has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install reward' or download it from GitHub, PyPI.

Reinforcement Learning in PyTorch.
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            kandi-support Support

              reward has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              reward has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of reward is 0.0.4

            kandi-Quality Quality

              reward has 0 bugs and 0 code smells.

            kandi-Security Security

              reward has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              reward code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              reward is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              reward releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 4514 lines of code, 714 functions and 129 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed reward and discovered the below as its top functions. This is intended to give you an instant insight into reward implemented functionality, and help decide if they suit your requirements.
            • 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 .
            Get all kandi verified functions for this library.

            reward Key Features

            No Key Features are available at this moment for reward.

            reward Examples and Code Snippets

            No Code Snippets are available at this moment for reward.

            Community Discussions

            QUESTION

            How to join dataframes with multiple IDs?
            Asked 2022-Mar-28 at 21:02

            I have two dataframes and a rather tricky join to accomplish.

            The first dataframe:

            ...

            ANSWER

            Answered 2022-Mar-28 at 20:34

            I think you have a couple different options

            1. You can create a dictionary and use map
            2. You can convert the lists to a string and use replace

            Option 1

            Source https://stackoverflow.com/questions/71653262

            QUESTION

            How does a gradient backpropagates through random samples?
            Asked 2022-Mar-25 at 03:06

            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 05:48

            It 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

            Source https://stackoverflow.com/questions/70163823

            QUESTION

            Fluter Countdown Timer
            Asked 2022-Mar-19 at 03:23

            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

            enter link description here

            ...

            ANSWER

            Answered 2022-Mar-19 at 03:23

            When 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 property

            Static property is something like variable outside your class, like:

            Source https://stackoverflow.com/questions/68681743

            QUESTION

            Admob : Ad serving is limited - The number of ads you can show has been limited. For details, go to the Policy center
            Asked 2022-Mar-10 at 13:29

            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

            1. 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.

            2. Implemented frequency capping for the ads but that didn't help. Ads are not showing on my app yet.

            3. I've implemented ads.txt properly.

            4. I've added the payment details on the account.

            5. 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 14:20

            So 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:

            1. avoid clicking on your own ads, and tell your friends and family not to click on the ads (this is very important)
            2. 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
            3. make sure that you are pre loading interstitial ads before showing them
            4. if you are using interstitial ad when users open the app, consider using App Open Ads
            5. make sure that banner ads does not obscure any content of your app (to avoid accidental clicks)
            6. 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.

            Source https://stackoverflow.com/questions/69914218

            QUESTION

            OpenAI-Gym and Keras-RL: DQN expects a model that has one dimension for each action
            Asked 2022-Mar-02 at 10:55

            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 11:19

            As 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

            Source https://stackoverflow.com/questions/70261352

            QUESTION

            How to check instruction in Solana on-chain program?
            Asked 2022-Feb-11 at 18:01

            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 11:56

            The 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.

            Source https://stackoverflow.com/questions/70708886

            QUESTION

            SyntaxError: Unexpected token ‘ in JSON at position 0
            Asked 2022-Feb-07 at 17:08

            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 17:08

            Use proper single quote ' instead of ’

            Source https://stackoverflow.com/questions/71022266

            QUESTION

            Stablebaselines3 logging reward with custom gym
            Asked 2021-Dec-25 at 01:10

            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 01:10

            You 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])

            Source https://stackoverflow.com/questions/70468394

            QUESTION

            Extract data in a column from a csv, saved as a dictionary (Python, Pandas)
            Asked 2021-Dec-19 at 14:34

            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 15:20

            QUESTION

            Unity3D invalid token error on official code from documentation
            Asked 2021-Dec-16 at 00:20

            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 18:08

            The 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

            Source https://stackoverflow.com/questions/70353236

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install reward

            You can install using 'pip install reward' or download it from GitHub, PyPI.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
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            pip install reward

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            https://github.com/lgvaz/reward.git

          • CLI

            gh repo clone lgvaz/reward

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            git@github.com:lgvaz/reward.git

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