config/train.yaml

defaults:
    - agent: sac

#env
env: dog_stand

# Basic setup
experiment: sac
device: cuda
seed: 1

# training 
num_train_steps: 1e6
replay_buffer_capacity: ${num_train_steps}
num_seed_steps: 5000
eval_frequency: 10000
num_eval_episodes: 10

# unsupervise
num_unsup_steps: 0
topK: 5
reset_update: 100

# logger
log_frequency: 10000
log_save_tb: true

# video recorder
save_video: false
save_model: true

# hydra configuration
hydra:
    name: ${env}
    run:
        dir: ./exp/${env}/H${diag_gaussian_actor.params.hidden_dim}_L${diag_gaussian_actor.params.hidden_depth}_B${agent.params.batch_size}_tau${agent.params.critic_tau}/${agent.name}_unsup${num_unsup_steps}_topk${topK}_${experiment}_lr${agent.params.actor_lr}_temp${agent.params.init_temperature}_seed${seed}