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cs.NE2022★ 1 cited
Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning
Humphrey Munn, Marcus Gallagher
Modularity has been widely studied as a mechanism to improve the capabilities of neural networks through various techniques such as hand-crafted modular architectures and automatic…
cs.NE2022
Assessing Evolutionary Terrain Generation Methods for Curriculum Reinforcement Learning
David Howard, Josh Kannemeyer, Davide Dolcetti +2
Curriculum learning allows complex tasks to be mastered via incremental progression over `stepping stone' goals towards a final desired behaviour. Typical implementations learn loc…