class_docstr: A JAX implementation of the DQN agent.
class_docstr_tok: ["A","JAX","implementation","of","the","DQN","agent","."]
docstr: Resets the agent state by filling it with zeros.
docstr_tok: ["Resets","the","agent","state","by","filling","it","with","zeros","."]
code: def _reset_state(self):
      """Resets the agent state by filling it with zeros."""
      self.state.fill(0)
  
imports: import collections
  import functools
  import inspect
  import math
  import time
  from absl import logging
  from dopamine.agents.dqn import dqn_agent
  from dopamine.jax import losses
  from dopamine.jax import networks
  from dopamine.metrics import statistics_instance
  from dopamine.replay_memory import circular_replay_buffer
  from dopamine.replay_memory import prioritized_replay_buffer
  import gin
  import jax
  import jax.numpy
  import numpy
  import optax
  import tensorflow
label_desc: Use image node_id 6 for calling the JaxDQNAgent obj's underlying member method code with example usage: obj._reset_state() without return types