Essays about: "djup förstärkningsinlärning"
Showing result 16 - 20 of 26 essays containing the words djup förstärkningsinlärning.
-
16. Control of an Inverted Pendulum Using Reinforcement Learning Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this paper the two reinforcement learning algorithmsQ-learning and deep Q-learning (DQN) are used tobalance an inverted pendulum. In order to compare the two, bothalgorithms are optimized to some extent, by evaluating differentvalues for some parameters of the algorithms. READ MORE
-
17. AI-driven admission control : with Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 5G is expected to provide a high-performance and highly efficient network to prominent industry verticals with ubiquitous access to a wide range of services with orders of magnitude of improvement over 4G. Network slicing, which allocates network resources according to users’ specific requirements, is a key feature to fulfil the diversity of requirements in 5G network. READ MORE
-
18. Automatic game-testing with personality : Multi-task reinforcement learning for automatic game-testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work presents a scalable solution to automate game-testing. Traditionally, game-testing has been performed by either human players or scripted Artificial Intelligence (AI) agents. While the first produces the most reliable results, the process of organizing testing sessions is time consuming. READ MORE
-
19. Unsupervised Reinforcement Learning and Downstream Task Finetuning for Simulated Robotics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep reinforcement learning algorithms typically require large amounts of data to solve a specific problem, and do not generalize well to other tasks. Recent methods in unsupervised reinforcement learning can learn a range of different behaviors within an environment without the use of task-specific data. READ MORE
-
20. Algorithmic Stock Trading using Deep Reinforcement learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent breakthroughs in Deep Learning and Reinforcement Learning have enabled the new field of Deep Reinforcement Learning. This study explores some of the state of the art applications of deep reinforcement learning in the field of finance and algorithmic trading. By building on previous research from Yang et al. READ MORE
