-scenario= train_cacla
-output_path= output/dog_cacla_model.h5

-character_file= data/characters/dog.txt
-state_file= data/states/dog_bound_state.txt

-num_threads= 4

-char_type= dog
-char_ctrl= dog_cacla
-terrain_file= data/terrain/flat.txt

-num_update_steps= 20
-num_sim_substeps= 5
-world_scale= 4

-policy_solver= data/policies/dog/nets/dog_actor_solver.prototxt
-policy_net= data/policies/dog/nets/dog_actor_deploy.prototxt

-critic_solver= data/policies/dog/nets/dog_critic_solver.prototxt
-critic_net= data/policies/dog/nets/dog_critic_deploy.prototxt

-trainer_num_anneal_iters= 50000
-exp_base_anneal_iters= 50000
-trainer_curriculum_iters= 0

-exp_rate= 0.2
-exp_temp= 0.1
-exp_base_rate= 0.01
-init_exp_rate= 1
-init_exp_temp= 1
-init_exp_base_rate= 1

-trainer_max_iter= 1000000000
-trainer_freeze_target_iters= 0
-trainer_int_iter= 2000
-trainer_int_output= output/intermediate/trainer_int_model.h5
-tuple_buffer_size= 32
-trainer_num_steps_per_iters= 1
-trainer_iters_per_output= 200
-trainer_init_input_offset_scale= true

-trainer_enable_async_mode= false
-trainer_num_init_samples= 50000
-trainer_replay_mem_size= 500000

//-trainer_enable_async_mode= true
//-trainer_num_init_samples= 6250
//-trainer_replay_mem_size= 62500