Edited saving of results

UI/get_args.py

@@ -25,11 +25,12 @@ def run():
         if '--game' in sys.argv:
             game_ind = sys.argv.index('--game')
             if len(sys.argv) > game_ind:
-                if sys.argv[game_ind+1] == "kuhn":
+                game_name = sys.argv[game_ind+1]
+                if game_name  == "kuhn":
                     game = Kuhn_Poker_int_io()
                     fict_game = Fict_Kuhn_int()
                     exploit_learner = learners.kuhn_exact_solver()
-                elif sys.argv[game_ind+1] == "leduc":
+                elif game_name == "leduc":
                     game = leduc_int()
                     fict_game = leduc_fict()
                     exploit_learner = learners.actor_critic(learners.softmax, learners.value_advantage, \
@@ -41,6 +42,7 @@ def run():
                 print("Please select a game")
                 return(-1)
         else:
+            game_name = "kuhn"
             game = Kuhn_Poker_int_io()
             fict_game = Fict_Kuhn_int()
             exploit_learner = learners.kuhn_exact_solver()
@@ -71,6 +73,7 @@ def run():
     else:
         learner_type = "rl"
     opts = {"num_lvls":num_lvls,
+            "game_name":game_name,
             "game":game,
             "fict_game":fict_game,
             "exploit_learner":exploit_learner,

UI/plot_funcs.py

@@ -87,7 +87,7 @@ def plot_heatmap(im, ax, label_name, overlay_vals=False):
 def exploitability_plot(exploitability, exploit_freq, ax=None):
     if ax is None:
         fig, ax = plt.subplots()
-    iters = np.arange(0, len(exploitability)*exploit_freq, exploit_freq)
+    iters = np.arange(1, (len(exploitability)+1)*exploit_freq, exploit_freq)
     ax.loglog(iters, exploitability)
     ax.set_xlabel("Iteration")
     ax.set_ylabel("Exploitability")

main.py

@@ -13,6 +13,7 @@ def main():
 
     options = get_args.run() 
     num_lvls = options["num_lvls"]
+    game_name = options["game_name"]
     game = options["game"]
     fict_game = options["fict_game"]
     exploit_learner = options["exploit_learner"]
@@ -73,7 +74,7 @@ def main():
                     for p_id, other_p in enumerate(p.other_players):
                         if other_p != "me":
                             other_p.opt_pol = players[p_id].opt_pol
-                if averaged_bel:
+                if not averaged_bel:
                     p.belief_buff = []
                 p.update_mem_and_bel()
                 bels.append(np.copy(p.belief))
@@ -137,7 +138,7 @@ def main():
             else:
                 pol_hist.append(pols)
                 exploit, _, _, _ = calc_exploitability(pols, game, exploit_learner)
-            exploitability.append(exploit) 
+            exploitability.append(exploit)
     else:
         if averaged_pol:
             new_avg_pols = []
@@ -155,8 +156,8 @@ def main():
         pol_plot = pol_hist
     bel_plot = belief_hist
     plot_everything(pol_plot, bel_plot, "kuhn", reward_hist[-1], exploitability)
-    filename="results/OBL_all_average"
-    np.savez(filename, pols=pol_plot, bels=bel_plot, explot=exploitability, rewards=reward_hist)
+    filename="results/" + game_name +  "_" + learner_type + "_" + str(num_lvls) + "lvls"
+    np.savez(filename, pols=pol_plot, bels=bel_plot, exploit=exploitability, rewards=reward_hist)
     return 0
 
 if __name__=="__main__":