Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using T- Maze

• Seo I, Lee H. Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze. Sensors. 2024; 24(19):6419. https://doi.org/10.3390/s24196419
• main.py: Main file to run the code (simulations)
• These codes are self-contained and can be run in any minimal python environment with the following libraries installed:
  • numpy, math : mandatory
  • datetime, tqdm : not necessary but recommended