Essays about: "djup förstärkningsinlärning"
Showing result 21 - 25 of 26 essays containing the words djup förstärkningsinlärning.
-
21. AI for an Imperfect-Information Wargame with Self-Play Reinforcement Learning
University essay from KTH/Matematik (Avd.)Abstract : The task of training AIs for imperfect-information games has long been difficult. However, recently the algorithm ReBeL, a general framework for self-play reinforcement learning, has been shown to excel at heads-up no-limit Texas hold 'em, among other imperfect-information games. READ MORE
-
22. Faster Unsupervised Object Detection For Symbolic Representation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Symbolic artificial intelligence has seen a wave of intense research in the late 20th century. More recently, the field of deep learning and deep reinforcement learning has been making large strides in terms of computer vision and robotic applications. READ MORE
-
23. Investigation of Different Observation and Action Spaces for Reinforcement Learning on Reaching Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep reinforcement learning has been shown to be a potential alternative to a traditional controller for robotic manipulation tasks. Most of modern deep reinforcement learning methods that are used on robotic control mostly fall in the so-called model-free paradigm. READ MORE
-
24. A comparison of genetic algorithm and reinforcement learning for autonomous driving
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This paper compares two different methods, reinforcement learning and genetic algorithm for designing autonomous cars’ control system in a dynamic environment. The research problem could be formulated as such: How is the learning efficiency compared between reinforcement learning and genetic algorithm on autonomous navigation through a dynamic environment? In conclusion, the genetic algorithm outperforms the reinforcement learning on mean learning time, despite the fact that the prior shows a large variance, i. READ MORE
-
25. Mixing Music Using Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Reinforcement Learning has recently seen good results in tasks such as board games, computer games and the control of autonomous vehicles. Stateof-the-art autonomous DJ-systems generating mixed audio hard-code the mixing strategy commonly with a cross-fade transition. READ MORE
