original_docstring: 
          A DRL based approach for action selection.
          :return: action
          
docstring: A DRL based approach for action selection.
docstring_tokens: A DRL based approach for action selection .
code: def drl_based_action_selection(self, game_state):
          """
          A DRL based approach for action selection.
          :return: action
          """
          board = game_state.get_board()
          legal_moves = game_state.get_legal_moves(board)
          move = None
  
          if len(legal_moves) == 0:
              logger.warn("Something wrong. Check implementation!")
              return
  
          if len(legal_moves) == 1:
              # if only one move allowed then simply make that move
              move = legal_moves[0]
              return move
  
          # encode the board vector
          encoded_state = self.__encode_state(board)
  
          # If multiple moves available then select the most apt one using DRL
          self.agent.get_action(encoded_state, legal_moves)
code_tokens: def drl_based_action_selection ( self , game_state ) : board = game_state . get_board ( ) legal_moves = game_state . get_legal_moves ( board ) move = None if len ( legal_moves ) == 0 : logger . warn ( "Something wrong. Check implementation!" ) return if len ( legal_moves ) == 1 : move = legal_moves [ 0 ] return move encoded_state = self . __encode_state ( board ) self . agent . get_action ( encoded_state , legal_moves )
short_docstring: A DRL based approach for action selection.
short_docstring_tokens: A DRL based approach for action selection .
comment: """
          A DRL based approach for action selection.
          :return: action
          """$SEP$# if only one move allowed then simply make that move
  $SEP$# encode the board vector
  $SEP$# If multiple moves available then select the most apt one using DRL
  