Essays about: "Double Deep Q-Network"

Showing result 1 - 5 of 8 essays containing the words Double Deep Q-Network.

1. 1. Creating an AI opponent withsuper-human performance for Splendor

   University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

   Author : Jonatan Simonsson; [2023]
   Keywords : ;

   Abstract : This project is in collaboration with Piktiv AB. The purpose of the project is tocreate a reinforcement learning agent capable of reaching super human performancein the board game Splendor.Three agents was implemented using a Double Deep Q-Network and certain improvements to the architecture. READ MORE

3. 2. Offline Reinforcement Learning for Optimization of Therapy Towards a Clinical Endpoint

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Simon Jenner; [2022]
   Keywords : Offline; Reinforcement learning; Double Deep Q-Network; Cognitive behavior therapy; Digital therapeutics; Optimization; Förstärkningsinlärning; Dubbelt djupt Q-nätverk; Kognitiv beteendeterapi; Digital terapeutika; Optimering;

   Abstract : The improvement of data acquisition and computer heavy methods in recentyears has paved the way for completely digital healthcare solutions. Digitaltherapeutics (DTx) are such solutions and are often provided as mobileapplications that must undergo clinical trials. READ MORE

4. 3. Board Game AI Using Reinforcement Learning

   University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

   Author : Linus Strömberg; Viktor Lind; [2022]
   Keywords : Reinforcement Learning; Game Development; Computer Engineering; Q-learning 2;

   Abstract : The purpose of this thesis is to develop an agent that learns to play an interpretation ofthe popular game Ticket To Ride. This project is done in collaboration with Piktiv AB.This thesis presents how an agent based on the Double Deep Q-network algorithm learnsto play a version of Ticket To Ride using self-play. READ MORE

5. 4. Research on Dynamic Offloading Strategy of Satellite Edge Computing Based on Deep Reinforcement Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Rui Geng; [2021]
   Keywords : Deep reinforcement learning; Satellite edge computing; Offloading strategy; Djup Förstärkning Lärande; Satellit Kant Datoranvändning; Avlastning Strategi;

   Abstract : Nowadays more and more data is generated at the edge of the network, and people are beginning to consider decentralizing computing tasks to the edge of the network. The network architecture of edge computing is different from the traditional network architecture. READ MORE

6. 5. Deep reinforcement learning for real-time power grid topology optimization

   University essay from Lunds universitet/Matematisk statistik

   Author : Jacob Rothschild; [2021]
   Keywords : Deep reinforcement learning; Dueling Deep Q-Network; electricity transmission network; real-time topology optimization; sustainable energy; Mathematics and Statistics;

   Abstract : In our pursuit of carbon neutrality, drastic changes to generation and consumption of electricity will cause new and complex demands on the power grid and its operators. A cheap, promising, and under-exploited mitigation is real-time power grid topology optimization (RTTO). READ MORE