Christian Schroeder de Witt
Christian Schroeder de Witt
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7
Coordination and Communication in Deep Multi-Agent Reinforcement Learning
This thesis presents a number of significant contributions deep multi-agent reinforcement for cooperative control within the framework of centralised training with decentralised execution and two associated novel benchmark suites.
Christian Schroeder de Witt
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Biological Evolution and Genetic Algorithms: Exploring the Space of Abstract Tile Self-Assembly
A physically-motivated genetic algorithm (GA) and full enumeration for a tile-based model of self-assembly (JaTAM) is implemented using a graphics processing unit (GPU).
Christian Schroeder de Witt
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