Essays about: "belöning"
Showing result 1 - 5 of 59 essays containing the word belöning.
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1. Human-Drone Interaction Failures
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Drones or unmanned aerial vehicles (UAVs) have become increasingly important in recent years. They are essential in many areas, such as crop monitoring and delivering critical medicine to hard-to-reach areas. This thesis delves into the often-overlooked aspect of failures within the multidisciplinary Human Drone Interactions (HDI) field. READ MORE
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2. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE
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3. Making virtual reality game players more physically active and immersed in the gameplay by involving their physical activity data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Physical inactivity is a growing concern in the world. Exergames, which are physically demanding games, offer a solution to motivate individuals to participate in regular physical activity, and virtual reality (VR) is the latest addition to this field. READ MORE
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4. Improving Behavior Trees that Use Reinforcement Learning with Control Barrier Functions : Modular, Learned, and Converging Control through Constraining a Learning Agent to Uphold Previously Achieved Sub Goals
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis investigates combining learning action nodes in behavior trees with control barrier functions based on the extended active constraint conditions of the nodes and whether the approach improves the performance, in terms of training time and policy quality, compared to a purely learning-based approach. Behavior trees combine several behaviors, called action nodes, into one behavior by switching between them based on the current state. READ MORE
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5. The effects of multistep learning in the hard-exploration problem
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning is a machine learning field which has received revitalised interest in later years due to many success stories and advancements in deep reinforcement learning. A key part in reinforcement learning is the need for exploration of the environment so the agent can properly learn the best policy. READ MORE
