docstr: Allows agents to update the transition just before adding it to the replay buffer.
  Can be useful for agents that want to tweak the reward, termination signal, etc.
  
  :param transition: the transition to update
  :return: the updated transition
docstr_tok: ["Allows","agents","to","update","the","transition","just","before","adding","it","to","the","replay","buffer",".","Can","be","useful","for","agents","that","want","to","tweak","the","reward",",","termination","signal",",","etc",".",":","param","transition",":","the","transition","to","update",":","return",":","the","updated","transition"]
code: def update_transition_before_adding_to_replay_buffer(
      self, transition: Transition
  ) -> Transition:
      """
      Allows agents to update the transition just before adding it to the replay buffer.
      Can be useful for agents that want to tweak the reward, termination signal, etc.
  
      :param transition: the transition to update
      :return: the updated transition
      """
      transition.game_over = (
          False
          if self.current_episode_steps_counter
          == self.parent_level_manager.environment.env._max_episode_steps
          else transition.game_over
      )
  
      return transition
  
imports: import copy
  from typing import Union
  from collections import OrderedDict
  import numpy
  from rl_coach.agents.agent import Agent
  from rl_coach.agents.ddpg_agent import DDPGAgent
  from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
  from rl_coach.architectures.head_parameters import DDPGActorHeadParameters, TD3VHeadParameters
  from rl_coach.architectures.middleware_parameters import FCMiddlewareParameters
  from rl_coach.base_parameters import NetworkParameters, AlgorithmParameters, AgentParameters, EmbedderScheme
  from rl_coach.core_types import ActionInfo, TrainingSteps, Transition
  from rl_coach.exploration_policies.additive_noise import AdditiveNoiseParameters
  from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
  from rl_coach.spaces import BoxActionSpace, GoalsSpace
label_desc: Use image node_id 5 for calling the TD3Agent obj's underlying member method code with example usage: obj.update_transition_before_adding_to_replay_buffer(transition) and returns: transition