Search for dissertations about: "Multi-Agent Reinforcement Learning"

Showing result 1 - 5 of 13 swedish dissertations containing the words Multi-Agent Reinforcement Learning.

2. 1. On the Feasibility of Reinforcement Learning in Single- and Multi-Agent Systems : The Cases of Indoor Climate and Prosumer Electricity Trading Communities

   Author : Ross May; Kenneth Carling; Mengjie Han; Xingxing Zhang; Zoltán Nagy; Högskolan Dalarna; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Multi-Agent Reinforcement Learning; Buildings; Indoor Climate; Occupant Comfort; Positive Energy Districts; Peer-to-Peer Markets; Complex Adaptive Systems;

   Abstract : Over half of the world’s population live in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. READ MORE

4. 2. The reinforcement learning method : A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities

   Author : Ross May; Kenneth Carling; Mengjie Han; Pascal Rebreyend; Zoltan Nagy; Högskolan Dalarna; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Markov decision processes; Reinforcement learning; Control; Building; Indoor comfort; Occupant; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Abstract : Over half of the world’s population lives in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. READ MORE

5. 3. Towards Optimal Algorithms For Online Decision Making Under Practical Constraints

   Author : Aristide Tossou; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reinforcement Learning; Multi-Agent Learning; Differential Privacy; Multi-Armed Bandit; Markov Decision Process; Fairness;

   Abstract : Artificial Intelligence is increasingly being used in real-life applications such as driving with autonomous cars; deliveries with autonomous drones; customer support with chat-bots; personal assistant with smart speakers . . . READ MORE

6. 4. Human-in-the-Loop Control Synthesis for Multi-Agent Systems under Metric Interval Temporal Logic Specifications

   Author : Sofie Ahlberg; Dimos Dimarogonas; Knut Åkesson; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-Agent Systems; Control Synthesis; Hard and Soft Constraints; Human-in-the-Loop; Automatic Control; Electrical Engineering; Elektro- och systemteknik;

   Abstract : With the increase of robotic presence in our homes and work environment, it has become imperative to consider human-in-the-loop systems when designing robotic controllers. This includes both a physical presence of humans as well as interaction on a decision and control level. READ MORE

7. 5. Systematic Data-Driven Continual Self-Learning

   Author : Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

   Abstract : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. READ MORE