API changes in TensorFlow Agents

See https://github.com/tensorflow/agents/commit/164f62032696e06f616268a51d32ca6b84dcbf15#diff-82bda908f176861c20aadc1d017c2527

examples/pybullet/gym/pybullet_envs/agents/configs.py

@@ -36,7 +36,7 @@ def default():
   eval_episodes = 25
   use_gpu = False
   # Network
-  network = networks.ForwardGaussianPolicy
+  network = networks.feed_forward_gaussian
   weight_summaries = dict(
       all=r'.*',
       policy=r'.*/policy/.*',

examples/pybullet/gym/pybullet_envs/agents/train_ppo.py

@@ -101,8 +101,6 @@ def train(config, env_processes):
   """
   tf.reset_default_graph()
   with config.unlocked:
-    config.network = functools.partial(
-        utility.define_network, config.network, config)
     config.policy_optimizer = getattr(tf.train, config.policy_optimizer)
     config.value_optimizer = getattr(tf.train, config.value_optimizer)
   if config.update_every % config.num_agents:

examples/pybullet/gym/pybullet_envs/agents/visualize_ppo.py

@@ -98,8 +98,6 @@ def visualize(
   """
   config = utility.load_config(logdir)
   with config.unlocked:
-    config.network = functools.partial(
-        utility.define_network, config.network, config)
     config.policy_optimizer = getattr(tf.train, config.policy_optimizer)
     config.value_optimizer = getattr(tf.train, config.value_optimizer)
   with tf.device('/cpu:0'):