Renamed benchmark players to DipNetSLPlayer and DipNetRLPlayer

README.md

@@ -90,7 +90,7 @@ $ python diplomacy_research/models/policy/order_based/train.py --model_id 12
 
 ### Playing against the SL and RL agents
 
-It is possible to play against the published results by using the `NeurIPS2019SLPlayer` and `NeurIPS2019RLPlayer` players in `diplomacy_research.players.benchmark_player`.
+It is possible to play against the published results by using the `DipNetSLPlayer` and `DipNetRLPlayer` players in `diplomacy_research.players.benchmark_player`.
 
 These players will automatically download a singularity container with the trained weights, and then launch a TF serving server to handle the requests.
 
@@ -101,13 +101,13 @@ from tornado import gen
 import ujson as json
 from diplomacy import Game
 from diplomacy.utils.export import to_saved_game_format
-from diplomacy_research.players.benchmark_player import NeurIPS2019SLPlayer
+from diplomacy_research.players.benchmark_player import DipNetSLPlayer
 from diplomacy_research.utils.cluster import start_io_loop, stop_io_loop
 
 @gen.coroutine
 def main():
     """ Plays a local game with 7 bots """
-    player = NeurIPS2019SLPlayer()
+    player = DipNetSLPlayer()
     game = Game()
 
     # Playing game

diplomacy_research/players/benchmark_player.py

@@ -36,8 +36,8 @@
 MAX_TIME_BETWEEN_CHECKS = 300
 
 
-class NeurIPS2019SLPlayer(ModelBasedPlayer):
-    """ NeurIPS 2019 Supervised Learning Benchmark Player """
+class DipNetSLPlayer(ModelBasedPlayer):
+    """ DipNet SL - NeurIPS 2019 Supervised Learning Benchmark Player """
 
     def __init__(self, temperature=0.1, use_beam=False, port=9501, name=None):
         """ Constructor
@@ -61,13 +61,13 @@ def __init__(self, temperature=0.1, use_beam=False, port=9501, name=None):
         policy_adapter = sl_neurips2019.PolicyAdapter(grpc_dataset)
 
         # Building benchmark model
-        super(NeurIPS2019SLPlayer, self).__init__(policy_adapter=policy_adapter,
-                                                  temperature=temperature,
-                                                  use_beam=use_beam,
-                                                  name=name)
+        super(DipNetSLPlayer, self).__init__(policy_adapter=policy_adapter,
+                                             temperature=temperature,
+                                             use_beam=use_beam,
+                                             name=name)
 
-class NeurIPS2019RLPlayer(ModelBasedPlayer):
-    """ NeurIPS 2019 Reinforcement Learning Benchmark Player """
+class DipNetRLPlayer(ModelBasedPlayer):
+    """ DipNet RL - NeurIPS 2019 Reinforcement Learning Benchmark Player """
 
     def __init__(self, temperature=0.1, use_beam=False, port=9502, name=None):
         """ Constructor
@@ -91,10 +91,10 @@ def __init__(self, temperature=0.1, use_beam=False, port=9502, name=None):
         policy_adapter = rl_neurips2019.PolicyAdapter(grpc_dataset)
 
         # Building benchmark model
-        super(NeurIPS2019RLPlayer, self).__init__(policy_adapter=policy_adapter,
-                                                  temperature=temperature,
-                                                  use_beam=use_beam,
-                                                  name=name)
+        super(DipNetRLPlayer, self).__init__(policy_adapter=policy_adapter,
+                                             temperature=temperature,
+                                             use_beam=use_beam,
+                                             name=name)
 
 class WebDiplomacyPlayer(ModelBasedPlayer):
     """ WebDiplomacy Player """

diplomacy_research/scripts/launch_bot.py

@@ -24,7 +24,7 @@
 from diplomacy import connect
 from diplomacy.utils import constants, exceptions, strings
 from tornado import gen, ioloop
-from diplomacy_research.players.benchmark_player import NeurIPS2019SLPlayer
+from diplomacy_research.players.benchmark_player import DipNetSLPlayer
 
 LOGGER = logging.getLogger('diplomacy_research.scripts.launch_bot')
 PERIOD_SECONDS = 2
@@ -66,7 +66,7 @@ def run(self):
         """ Main bot code. """
 
         # Creating player
-        self.player = NeurIPS2019SLPlayer()
+        self.player = DipNetSLPlayer()
 
         # Connecting to server
         connection = yield connect(self.host, self.port)