no code implementations • 26 Sep 2023 • Yi Wang, Jieliang Luo, Adam Gaier, Evan Atherton, Hilmar Koch
Concretely, we present a system that leverages Reinforcement Learning (RL) to automatically assign concrete locations on a game map to abstract locations mentioned in a given story (plot facilities), following spatial constraints derived from the story.
1 code implementation • 23 Feb 2023 • Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi, Amy K. Hoover, Joel Lehman
The promise of such language model crossover (which is simple to implement and can leverage many different open-source language models) is that it enables a simple mechanism to evolve semantically-rich text representations (with few domain-specific tweaks), and naturally benefits from current progress in language models.
1 code implementation • 4 Jul 2022 • Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J Bentley
Keeping only a single balanced solution in each MAP-Elites bin maintains the visual accessibility of the archive -- a strong asset for design exploration.
1 code implementation • 4 Feb 2022 • Peter J Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
Constrained optimization problems can be difficult because their search spaces have properties not conducive to search, e. g., multimodality, discontinuities, or deception.
1 code implementation • 9 Mar 2020 • Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Our second insight is that this representation can be used to scale quality diversity optimization to higher dimensions -- but only if we carefully mix solutions generated with the learned representation and those generated with traditional variation operators.
no code implementations • 16 Jul 2019 • Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
This difference, the phenotypic distance, can then be used to situate these networks into a common input space, allowing us to produce surrogate models which can predict the performance of neural networks regardless of topology.
1 code implementation • NeurIPS 2019 • Adam Gaier, David Ha
We demonstrate that our method can find minimal neural network architectures that can perform several reinforcement learning tasks without weight training.
2 code implementations • 15 Jun 2018 • Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Design optimization techniques are often used at the beginning of the design process to explore the space of possible designs.
1 code implementation • 15 Apr 2018 • Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Surrogate-assistance approaches have long been used in computationally expensive domains to improve the data-efficiency of optimization algorithms.
4 code implementations • 13 Feb 2017 • Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
The MAP-Elites algorithm produces a set of high-performing solutions that vary according to features defined by the user.