Delete logs

logs/robocasa__bread/test_mppi_demos10/seed0/config.yaml

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-act: SiLU
-action_dim: -1
-action_horizon: 1
-action_repeat: 3
-batch_length: 8
-batch_size: 4
-compile: true
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-critic: {dist: normal_std_fixed, eps: 1e-05, grad_clip: 100.0, layers: 2, lr: 3e-05,
-  num_models: 5, num_subsample: 2, outscale: 0.0, slow_target: true, slow_target_fraction: 0.02,
-  slow_target_update: 1}
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-device: cuda:0
-discount: 0.99
-discount_lambda: 0.95
-done_mode: 1
-dp:
-  ac_chunk: 8
-  action_space: deltas
-  batch_size: 128
-  debug: false
-  device: cuda:0
-  devices: 1
-  eval_freq: 10
-  img_chunk: 2
-  log_freq: 100
-  lr: 0.0001
-  max_iterations: 500000
-  num_cams: 2
-  pretrained_ckpt: ''
-  print_config: false
-  schedule_freq: 1
-  seed: 292285
-  shared_mlp: []
-  train_steps: 10
-  train_transform: gpu_medium
-  use_if_ckpt_present: false
-dyn_deter: 512
-dyn_discrete: 32
-dyn_hidden: 512
-dyn_mean_act: none
-dyn_min_std: 0.1
-dyn_rec_depth: 1
-dyn_scale: 0.5
-dyn_std_act: sigmoid2
-dyn_stoch: 32
-encoder: {act: SiLU, cnn_depth: 32, cnn_keys: .*image.*, kernel_size: 4, minres: 4,
-  mlp_keys: .*state.*, mlp_layers: 5, mlp_units: 1024, norm: true, symlog_inputs: true}
-encoder_net: {eval_interval: 2, train_steps: 10}
-env_max_steps: {bread: 300000.0, breadcanfixed: 500000.0, breadcanrandom: 500000.0,
-  cereal: 500000.0, door: 100000.0, nutassemblyround: 500000.0, stack: 300000.0}
-env_time_limits: {bread: 200, breadcanfixed: 400, breadcanrandom: 400, cereal: 150,
-  door: 200, nutassemblyround: 300, stack: 150}
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-grad_clip: 1000
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-highres_img_size: 1024
-imag_horizon: 7
-image_size: 64
-initial: learned
-kl_free: 1.0
-log_every: 50
-logdir: scratch_dir//logs/robocasa__bread/test_mppi_demos10/seed0
-model_lr: 0.0001
-mppi: {abs_residual: 0.2, action_l2_cost: 0, discount: 0.99, horizon: 8, init_std: 0.05,
-  iterations: 2, max_std: 0.1, min_std: 0.01, num_elites: 2, num_samples: 32, pretrained_ckpt: '',
-  temperature: 0.5, uncertainty_cost: 1.0}
-norm: True'
-normalize_state_actions: false
-num_buffer_transitions: 50
-num_envs: 3
-num_exp_trajs: 10
-num_exp_val_trajs: 1
-obs_horizon: 2
-opt: adam
-opt_eps: 1e-08
-precision: 32
-pred_horizon: 8
-prefill: 1
-pretrain: 1
-rep_scale: 0.1
-residual_actor: {absmax: null, dist: normal, entropy: 0.0003, eps: 1e-05, grad_clip: 100.0,
-  layers: 2, lr: 3e-05, max_std: 0.1, min_std: 0.01, outscale: 1.0, std: learned,
-  temp: 0.1, unimix_ratio: 0.01}
-residual_training: {max_warmup_itrs: 100, n_steps_per_round: 100, n_training_rounds: 3,
-  num_trajs_per_round: 3, num_warmup_trajs: 3, warmstart_critic_loss: -10000}
-retrain_dp_params: {new_trajs_to_collect: 3}
-reward_EMA: true
-reward_head: {dist: normal_std_fixed, layers: 2, outscale: 0.0}
-scratch_dir: scratch_dir/
-seed: 0
-set:
-- [image_size, '64']
-state_dim: -1
-state_only: false
-steps_per_batch: 10
-task: robocasa__bread
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-  upate_discrim_every: 2, update_dp_every: 2, use_discrim: true, warmstart_percentage_env_steps: 0.2,
-  warmstart_train_ratio: 1.5}
-train_ratio: 50
-unimix_ratio: 0.01
-units: 512
-update_dp: false
-use_wandb: false
-visualize_eval: true
-viz_expert_buffer: true
-wandb_entity: njuai
-wandb_exp_name: robocasa__bread/test_mppi_demos10
-wandb_project: Recovery
-weight_decay: 0.0

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logs/robocasa__bread/train_dp-0112_demos15/seed0/config.yaml

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-act: SiLU
-action_dim: -1
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-batch_length: 32
-batch_size: 16
-compile: true
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-  slow_target_update: 1}
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-device: cuda:0
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-  device: cuda:0
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-  mlp_keys: .*state.*, mlp_layers: 5, mlp_units: 1024, norm: true, symlog_inputs: true}
-env_max_steps: {bread: 300000.0, breadcanfixed: 500000.0, breadcanrandom: 500000.0,
-  cereal: 500000.0, door: 100000.0, nutassemblyround: 500000.0, stack: 300000.0}
-env_time_limits: {bread: 200, breadcanfixed: 400, breadcanrandom: 400, cereal: 150,
-  door: 200, nutassemblyround: 300, stack: 150}
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-kl_free: 1.0
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-  iterations: 6, max_std: 0.1, min_std: 0.01, num_elites: 32, num_samples: 256, pretrained_ckpt: '',
-  temperature: 0.5, uncertainty_cost: 1.0}
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-num_buffer_transitions: 100000
-num_envs: 10
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-num_exp_val_trajs: 1
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-opt: adam
-opt_eps: 1e-08
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-  layers: 2, lr: 3e-05, max_std: 0.1, min_std: 0.01, outscale: 1.0, std: learned,
-  temp: 0.1, unimix_ratio: 0.01}
-reward_EMA: true
-reward_head: {dist: normal_std_fixed, layers: 2, outscale: 0.0}
-scratch_dir: scratch_dir/
-seed: 0
-set:
-- [image_size, '64']
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-task: robocasa__bread
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-  eval_every_round: 10, force_warmup: true, min_env_steps_per_round: 3500, n_dp_train_itrs: 1000,
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-  warmstart_percentage_env_steps: 0.2, warmstart_train_ratio: 1.5}
-unimix_ratio: 0.01
-units: 512
-update_dp: false
-use_wandb: true
-visualize_eval: true
-viz_expert_buffer: false
-wandb_entity: njuai
-wandb_exp_name: robocasa__bread/train_dp-0112_demos15
-wandb_project: Recovery
-weight_decay: 0.0

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