Game theory is known to be a useful tool in the study of Machine Learning and Artificial Intelligence Multi-Agent interactions.
One basic component of these ML and AI systems is the exploration-exploitation trade-off, a fundamental dilemma between taking a risk with new actions in the quest for more information about the environment (exploration) and repeatedly selecting actions that result in the current maximum reward or (exploitation).
However, the outcome of the exploration-exploitation process is often unpredictable in practice and the reasons behind its volatile performance have been a long-standing open question in the ML and AI communities. [Read more…] about Singapore university wins best paper at AAAI conference on artificial intelligence
Related Posts
- 31Artificial intelligence has arrived in our everyday lives – from search engines to self-driving cars. This has to do with the enormous computing power that has become available in recent years. But new results from AI research now show that simpler, smaller neural networks can be used to solve certain…