Essays about: "Starcraft 2"
Showing result 1 - 5 of 6 essays containing the words Starcraft 2.
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1. Evaluating Curiosity Driven Exploration in a Large Action Space using Starcraft 2
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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2. 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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3. Gate Recurrent Unit Neural Networks for Hearing Instruments
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Gated Recurrent Unit (GRU) neural networks have gained popularity for applications such as keyword spotting, speech recognition and other artificial intelligence applications. Typically for most applications training and inference is performed on cloud servers, and the result are transferred to the power constrained device, e.g. READ MORE
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4. Monto Carlo Tree Search in Real Time Strategy Games with Applications to Starcraft 2
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis presents an architecture for an agent that can play the real-time strategy game Starcraft 2 (SC2) by applying Monte Carlo Tree Search (MCTS) together with genetic algorithms and machine learning methods. Together with the MCTS search, a light-weight and accurate combat simulator for SC2 as well as a build order optimizer are presented as independent modules. READ MORE
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5. Combining Influence Maps and Potential Fields for AI Pathfinding
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : This thesis explores the combination of influence maps and potential fields in two novel pathfinding algorithms, IM+PF and IM/PF, that allows AI agents to intelligently navigate an environment. The novel algorithms are compared to two established pathfinding algorithms, A* and A*+PF, in the real-time strategy (RTS) game StarCraft 2. READ MORE