params.gin

# Parameters for train_eval:
# ==============================================================================
train_eval.env_name = 'carla-v0'
train_eval.agent_name = 'latent_sac'
train_eval.model_network_ctor_type = 'hierarchical'

train_eval.initial_model_train_steps = 0
train_eval.num_iterations = 3000000
train_eval.batch_size = 256
train_eval.model_batch_size = 32
train_eval.sequence_length = 10

train_eval.num_eval_episodes = 2
train_eval.eval_interval = 5000
train_eval.summary_interval = 5000

train_eval.initial_collect_steps = 1000

train_eval.debug_summaries = False
train_eval.num_images_per_summary = 2
 
train_eval.train_checkpoint_interval = 5000
train_eval.policy_checkpoint_interval = 5000
train_eval.rb_checkpoint_interval = 5000
train_eval.action_repeat=4

train_eval.input_names=['camera', 'lidar']
train_eval.mask_names=['birdeye']

# Parameters for load_carla_env:
# ==============================================================================
load_carla_env.max_time_episode=500
load_carla_env.port=2000