Browsing Theses by Subject "Reinforcement learning"
Now showing items 1-6 of 6
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Asking for Help with a Cost in Reinforcement Learning
(University of Waterloo, 2020-05-15)Reinforcement learning (RL) is a powerful tool for developing intelligent agents, and the use of neural networks makes RL techniques more scalable to challenging real-world applications, from task-oriented dialogue systems ... -
Curiosity-Based Learning Algorithm for Interactive Art Sculptures
(University of Waterloo, 2016-02-19)This thesis is part of the research activities of the Living Architecture System Group (LASG). Combining techniques in architecture, the arts, electronics, and software, LASG develops interactive art sculptures that engage ... -
Machine Learning for SAT Solvers
(University of Waterloo, 2018-12-07)Boolean SAT solvers are indispensable tools in a variety of domains in computer science and engineering where efficient search is required. Not only does this relieve the burden on the users of implementing their own search ... -
Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval
(University of Waterloo, 2012-09-19)The amount of information on the World Wide Web (WWW) is rapidly growing in pace and topic diversity. This has made it increasingly difficult, and often frustrating, for information seekers to retrieve the content they are ... -
Oppositional Reinforcement Learning with Applications
(University of Waterloo, 2008-09-25)Machine intelligence techniques contribute to solving real-world problems. Reinforcement learning (RL) is one of the machine intelligence techniques with several characteristics that make it suitable for the applications, ... -
Towards Learning Feasible Hierarchical Decision-Making Policies in Urban Autonomous Driving
(University of Waterloo, 2022-09-29)Modern learning-based algorithms, powered by advanced deep structured neural nets, have multifacetedly facilitated automated driving platforms, spanning from scene characterization and perception to low-level control and ...