Evolving a Domain-Specific Language to Speed Up Program Synthesis

Program synthesis is used in various ways to automate repetitive tasks or to generate software automatically. Search-based program synthesis constitutes searching the space of candidate programs created from a given language. However, this form of program synthesis is very expensive in terms of computing power. By optimising the synthesiser’s...

The Influence of the Size of the Search Space on Learning to Play Chess using Deep Reinforcement Learning Algorithms

The current state-of-the-art solutions for playing Chess, are created using deep reinforcement learning. AlphaZero, the current world champion, uses ’policy networks’ and ’value network’ for selecting moves and evaluating positions respectively. However, the training of these networks are done using reinforcement learning from games of selfplay....