class_docstr: A fake PPO agent that tracks input trajectories into agent.train.
class_docstr_tok: ["A","fake","PPO","agent","that","tracks","input","trajectories","into","agent.train","."]
code: def reset(self):
      self.train_called_times.assign(0)
      self.experiences = []
  
file_path: agents/tf_agents/train/ppo_learner_test_utils.py
imports: import numpy
  import tensorflow
  from tf_agents.agents import tf_agent
  from tf_agents.agents.ppo import ppo_agent
  from tf_agents.networks import actor_distribution_network
  from tf_agents.networks import value_network
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
label_desc: Use image node_id 3 for calling the FakePPOAgent obj's underlying member method code with example usage: obj.reset() without return types