A Simple Approach to Learning Sparse Representations Online
If eta is set to None, it defaults to (high - low) / n_tiles, which is fuzziness the same width as the tile.
If layer_norm_input is True, input is normalized before tiling and low and high are set to -3 and 3 respectively. If sigmoid_input is True, input is put through sigmoid first and low and high are set to 0 and 1 respectively. Both can be True in which case sigmoid is after layer norm and low, high = 0, 1.
2019 Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online Yangchen Pan, Kirby Banman, Martha White
2022 Investigating the Properties of Neural Network Representations in Reinforcement Learning Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White