data_small

data_small

small dataset, contains much more data. For evaluation purposes

---

J_star_alpha_0_99_iter_1000.npy

J_star (= values) to verify correctness of Async_VI

---

P_data.npy

data values for probability matrix

---

P_indices.npy

indices for probability matrix

---

P_indptr.npy

index pointer for probability matrix

---

P_shape.npy

shape for probability matrix

---

parameters.npz

parameters in .npz-format. Content is equivalent as parameters.pickle

---

parameters.pickle

containing all other parameters that are needed for Value Iteration --> number of stars, fuel capacity, max number of actions, max jump range, confusion distance (insecurity of decision) and number of states

---

pi_star_alpha_0_99_iter_1000.npy

PI_star (= policy) to verify correctness of Async_VI

---

star_graph_data.npy

data values for star_graph matrix

---

star_graph_indices.npy

indices for star_graph matrix

---

star_graph_indptr.npy

index pointer for star_graph matrix

---

star_graph_shape.npy

shape for star_graph matrix

---

stars.npy

information at which stars you can refuel