Essays about: "RL"
Showing result 16 - 20 of 114 essays containing the word RL.
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16. Causal Reinforcement Learning for Bandits with Unobserved Confounders
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Reinforcement Learning (RL) has been recognized as a valuable tool in various fields. However, its application is limited by its reliance on extensive data through a trial-and-error approach and challenges in generalizing learned policies. READ MORE
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17. Energy Sustainable Reinforcement Learning-based Adaptive Duty-Cycling in Wireless Sensor Networks-based Internet of Things Networks
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The Internet of Things (IoT) is widely adopted across various fields due to its flexibility and low cost. Energy-harvesting Wireless Sensor Networks (WSNs) are becoming a building block of many IoT applications and provide a perpetual source of energy to power energy-constrained IoT devices. READ MORE
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18. Reinforcement learning for improved local search : Applied to the graph coloring problem
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The graph coloring problem (GCP) is an important combinatorial optimization problem (COP) with various applications and a simple formulation: to assign colors to vertices in a graph such that no adjacent vertices share a color. The GCP is NP-hard, and in order to solve it within a reasonable time frame, heuristic local search (LS) based algorithms are commonly used. READ MORE
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19. Fine-tuning Bot Play Styles From Demonstration
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In recent years, Reinforcement Learning (RL) has successfully been used to train agents for games. Nonetheless, in the game industry there is still a necessity for bots not only to succeed in the environments but also to act human-like while playing the game. READ MORE
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20. Reinforcement Learning for Hydrobatic AUVs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis focuses on developing a Reinforcement Learning (RL) controller to perform hydrobatic maneuvers on an Autonomous Underwater Vehicle (AUV) successfully. This work also aims to analyze the robustness of the RL controller, as well as provide a comparison between RL algorithms and Proportional Integral Derivative (PID) control. READ MORE
