Essays about: "Stochastic Agents"
Showing result 1 - 5 of 15 essays containing the words Stochastic Agents.
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1. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space
University essay from KTH/Skolan för teknikvetenskap (SCI); KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. READ MORE
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2. Interaction Aware Decision Making for Automated Vehicles Based on Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Decision-making is one of the key challenges blocking full autonomy of automated vehicles. In highway scenarios, automated vehicles are expected to be aware of their surroundings and make decisions by interacting with other road participants to drive safely and efficiently. READ MORE
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3. Do we have a feasible case for an economy-wide UBI policy that is a Pareto Improvement over the status-quo?
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi; Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : The question, merits and normative underpinnings of a Universal Basic Income policy have a long-standing genealogy in the various schools of thought that straddle economic reasoning. The demand for an exercise in dynamic general equilibrium macroeconomics, with microeconomic foundations, has been expressed by Ghatak and Maniquet (2019), Banerjee et al. READ MORE
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4. Domain independent enhancements to Monte Carlo tree search for eurogames
University essay from Mittuniversitetet/Institutionen för data- och systemvetenskapAbstract : The Monte Carlo tree search-algorithm (MCTS) has been proven successful when applied to combinatorial games, a term applied to sequential games with perfect information. As the focus for MCTS has tended to lean towards combinatorial games, general MCTS-strategies for other types of board games are hard to find. READ MORE
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5. Stochastic Model Identification and Model Metrics with Deep Learning Applications
University essay from Mälardalens högskola/Akademin för utbildning, kultur och kommunikationAbstract : Each economic event has a dynamic effect on the market due to decision complexity for agents valuating rare events. The more complex is the event, the more it takes for the markets to incorporate the new information. The goal of this thesis is to explore the dynamic effects of economic events on equity returns and statistical indicators. READ MORE