Essays about: "hierarchical reinforcement learning"
Showing result 1 - 5 of 10 essays containing the words hierarchical reinforcement learning.
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1. A hierarchical neural network approach to learning sensor planning and control
University essay from Uppsala universitet/DatorteknikAbstract : The ability to search their environment is one of the most fundamental skills for any living creature. Visual search in particular is abundantly common for almost all animals. READ MORE
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2. Improving Co-existence of URLLC and Distributed AI using RL
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In 5G, Ultra-reliable and low-Latency communications (URLLC) service is envisioned to enable use cases with strict reliability and latency requirements on wireless communication. For the upcoming 6G network, machine learning (ML) also stands an important role that introduces intelligence and further enhances the system performance. READ MORE
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3. Evaluating behaviour tree integration in the option critic framework in Starcraft 2 mini-games with training restricted by consumer level hardware
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates the performance of the option critic (OC) framework combined with behaviour trees (BTs) in Starcraft 2 mini-games when training time is constrained by a time frame limited by consumer level hardware. We test two such combination models: BTs as macro actions (OCBT) and BTs as options (OCBToptions) and measure the relative performance to the plain OC model through an ablation study. READ MORE
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4. Hybrid model based hierarchical reinforcement learning for contact rich manipulation task
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Contact-rich manipulation tasks forms a crucial application in industrial, medical and household settings, requiring strong interaction with a complex environment. In order to efficiently engage in such tasks with human-like agility, it is crucial to search for a method which can effectively handle such contact-rich scenarios. READ MORE
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5. Integrating Reinforcement Learning into Behavior Trees by Hierarchical Composition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates ways to extend the use of Reinforcement Learning (RL) to Behavior Trees (BTs). BTs are used in the field of Artificial Intelligence (AI) in order to create modular and reactive planning agents. READ MORE
