merge

Author: Satvik Golechha

README.md

@@ -27,6 +27,7 @@ The aim is to simulate the popular multiplayer game "Among Us" using AI agents a
 3. Install dependencies:
    ```bash
    pip install -r requirements.txt
+   pip install numpy pandas networkx streamlit dotenv requests aiohttp
    ```
 
 ## Run Games

among-agents/amongagents/envs/game.py

@@ -169,10 +169,6 @@ def initialize_agents(self):
             self.agents = []
             for i, player in enumerate(self.players):
                 if self.include_human and i == random_idx:
-<<<<<<< HEAD
-                    self.agents.append(HumanAgent(player))
-                    print(f"{i} Initializing player {player.name} with identity {player.identity} and LLM choice {self.agents[-1].model}")
-=======
                     # Create HumanAgent with game_id set to game_index
                     human_agent = HumanAgent(player, game_index=self.game_index)
                     # Set the game_id attribute to match the game_index
@@ -183,7 +179,6 @@ def initialize_agents(self):
                     # Update max_steps for human agent
                     if hasattr(self.agents[-1], 'update_max_steps'):
                         self.agents[-1].update_max_steps(self.game_config.get("max_timesteps", 50))
->>>>>>> 0174da6c2c3d3921bdacd805e6a4b721e1205517
                 else:
                     self.agents.append(agent_dict[self.agent_config[player.identity]](player))
                     print(f"{i} Initializing player {player.name} with identity {player.identity} and LLM choice {self.agents[-1].model}")

utils.py

@@ -37,7 +37,7 @@ def setup_experiment(experiment_name, LOGS_PATH, DATE, COMMIT_HASH, DEFAULT_ARGS
         experiment_file.write(f"Experiment index: {next_index}\n")
 
     os.environ["EXPERIMENT_PATH"] = experiment_path
-    os.environ["STREAMLIT"] = str(DEFAULT_ARGS["Streamlit"])
+    os.environ["STREAMLIT"] = str(DEFAULT_ARGS.get("streamlit", False))
     os.environ["EXPERIMENT_INDEX"] = str(next_index)
 
     return experiment_name