Essays about: "functions of an agent"
Showing result 1 - 5 of 57 essays containing the words functions of an agent.
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1. Data Augmentation for Object Detection using Deep Reinforcement Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. 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. RBC with Endogenous Health
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : The purpose of this paper is to contribute to the limited literature on RBC models with endogenous health accumulation. To this end, we develop an infinitely lived agent model with endogenous health, productivity shocks, and health shocks. Health is conceptualized as a capital stock in accordance with the Grossman model. READ MORE
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4. Scalable Reinforcement Learning for Linear-Quadratic Control of Networks
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Distributed optimal control is known to be challenging and can become intractable even for linear-quadratic regulator problems. In this work, we study a special class of such problems where distributed state feedback controllers can give near-optimal performance. READ MORE
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5. 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
