code: def reset(self, *, seed=None, options=None):
      if seed is not None:
          np.random.seed(seed)
      self.state = np.array([1, 0, 0])
      return self._obs(), {}
  
file_path: ray/rllib/examples/env/two_step_game.py
imports: from gymnasium.spaces import Dict, Discrete, MultiDiscrete, Tuple
  import numpy
  from ray.rllib.env.multi_agent_env import MultiAgentEnv, ENV_STATE
label_desc: Use image node_id 2 for calling the TwoStepGame obj's underlying member method code with example usage: obj.reset() and returns: self,  dict