If a Q-Learning agent actually performs noticeably better against opponents in a specific card game when intermediate rewards are included, would this show a flaw in the algorithm or a flaw in its implementation?
Q-Learning Intermediate Rewards
184 Views Asked by Uzay Macar At
1
There are 1 best solutions below
Related Questions in REINFORCEMENT-LEARNING
- php Variable name must change in for loop
- register_shutdown_function is not getting called
- Query returning zero rows despite entries existing
- Retrieving *number* pages by page id
- Automatically closing tags in form input?
- How to resize images with PHP PARSE SDK
- how to send email from localhost using codeigniter?
- Mariadb max Error while sending QUERY packet PID
- Multiusers login redirect different page in php
- Imaginary folder when I use "DirectoryIterator" in PHP?
Related Questions in Q-LEARNING
- php Variable name must change in for loop
- register_shutdown_function is not getting called
- Query returning zero rows despite entries existing
- Retrieving *number* pages by page id
- Automatically closing tags in form input?
- How to resize images with PHP PARSE SDK
- how to send email from localhost using codeigniter?
- Mariadb max Error while sending QUERY packet PID
- Multiusers login redirect different page in php
- Imaginary folder when I use "DirectoryIterator" in PHP?
Related Questions in REWARD-SYSTEM
- php Variable name must change in for loop
- register_shutdown_function is not getting called
- Query returning zero rows despite entries existing
- Retrieving *number* pages by page id
- Automatically closing tags in form input?
- How to resize images with PHP PARSE SDK
- how to send email from localhost using codeigniter?
- Mariadb max Error while sending QUERY packet PID
- Multiusers login redirect different page in php
- Imaginary folder when I use "DirectoryIterator" in PHP?
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular # Hahtags
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
It's difficult to answer this question without more specific information about the Q-Learning agent. You might term the seeking of immediate rewards as being the exploitation rate, which is generally inversely proportional to the exploration rate. It should be possible to configure this and the learning rate in your implementation. The other important factor is the choice of exploration strategy and you should not have any difficulty in finding resources that will assist in making this choice. For example:
http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/Exploration_QLearning.pdf
https://www.cs.mcgill.ca/~vkules/bandits.pdf
To answer the question directly, it may be either a question of implementation, configuration, agent architecture or learning strategy that leads to immediate exploitation and a fixation on local minima.