Data and Code for: How do animals value the future? Evaluating reward discount factors to explain and predict animal decision-making

The Python data and code that can be used to recreate our methodology, which uses Maximum Entropy (MaxEnt) Inverse Reinforcement Learning (IRL) to learn the discount factor. The data include both clean synthetic data derived from vervet monkey routes in a multi-destination array and more messy empirical data from the vervets in the field, both of which we used to test our method.