Search for dissertations about: "reinforcement"
Showing result 16 - 20 of 490 swedish dissertations containing the word reinforcement.
-
16. Chloride initiated reinforcement corrosion in marine concrete
Abstract : Factors affecting the total chloride threshold for initiation of pitting corrosion in reinforced concrete were investigated by means of field and laboratory exposure tests. Factors affecting the chloride penetration into concrete were also investigated by means of field tests. The thesis consists of a summary (86 p.) and 11 papers attached. READ MORE
-
17. Machine Learning for Wireless Link Adaptation : Supervised and Reinforcement Learning Theory and Algorithms
Abstract : Wireless data communication is a complex phenomenon. Wireless links encounter random, time-varying, channel effects that are challenging to predict and compensate. Hence, to optimally utilize the channel, wireless links adapt the data transmission parameters in real time. READ MORE
-
18. On the Feasibility of Reinforcement Learning in Single- and Multi-Agent Systems : The Cases of Indoor Climate and Prosumer Electricity Trading Communities
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
-
19. Machine Behavior Development and Analysis using Reinforcement Learning
Abstract : We are approaching a future where robots and humans will co-exist and co-adapt. To understand how can a robot co-adapt with humans, we need to understand and develop efficient algorithms suitable for our interactive purposes. Not only it can help us to advance the field of robotics but also it can help us to understand ourselves. READ MORE
-
20. Decision-Making in Autonomous Driving using Reinforcement Learning
Abstract : The main topic of this thesis is tactical decision-making for autonomous driving. An autonomous vehicle must be able to handle a diverse set of environments and traffic situations, which makes it hard to manually specify a suitable behavior for every possible scenario. READ MORE