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- bag_ckpt/0106/234547/best_pretrain_joint_444_68.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_569_44.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_599_78.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_604_60.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_659_87.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_685_23.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_736_40.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_805_40.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_8260_11.pt +3 -0
- bag_ckpt/0106/234547/best_pretrain_joint_947_81.pt +3 -0
- bag_ckpt/0106/234547/config.yaml +210 -0
- bag_ckpt/0106/234547/pretrain_joint.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_10000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_100000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_110000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_120000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_130000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_140000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_150000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_20000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_30000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_40000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_50000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_60000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_70000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_80000.pt +3 -0
- bag_ckpt/0106/234547/pretrain_joint_90000.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_228_89.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_239_27.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_250_04.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_265_60.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_272_61.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_369_47.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_453_47.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_466_76.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_521_53.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_525_90.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_554_93.pt +3 -0
- cup_ckpt/1229/222731/best_pretrain_joint_8321_37.pt +3 -0
- cup_ckpt/1229/222731/config.yaml +209 -0
- cup_ckpt/1229/222731/pretrain_joint.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_10000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_100000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_110000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_120000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_130000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_140000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_150000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_20000.pt +3 -0
- cup_ckpt/1229/222731/pretrain_joint_30000.pt +3 -0
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bag_ckpt/0106/234547/best_pretrain_joint_805_40.pt
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bag_ckpt/0106/234547/config.yaml
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| 1 |
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act: SiLU
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| 2 |
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actType: Tanh
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action_norm: true
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| 4 |
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action_repeat: 1
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| 5 |
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action_space: [8]
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action_type: abs
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actor: {dist: normal, entropy: 0.0003, eps: 1e-05, grad_clip: 100.0, layers: 2, lr: 3e-05,
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| 8 |
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max_std: 1.0, min_std: 0.1, outscale: 1.0, std: learned, temp: 0.1, unimix_ratio: 0.01}
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actor_only_scale: 0.0
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annealing: null
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architecture: [100, 100]
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augment_images: false
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batch_length: 64
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| 14 |
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batch_size: 16
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| 15 |
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bc_loss_only: false
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| 16 |
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bc_reg: true
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| 17 |
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bc_reg_wd: 1.0
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| 18 |
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bc_reg_weight: 1.0
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checkPeriod: 10000
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classifier_batch_length: 1500
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classifier_batch_size: 32
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classifier_epoch: 50
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classifier_latent_mode: all
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| 24 |
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classifier_mode: split
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| 25 |
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classifier_padding_mode: last
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| 26 |
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compile: true
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consRadius: 0.5
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cont_ensemble_size: 1
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cont_ensemble_subsample: 1
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cont_head: {layers: 2, loss_scale: 1.0, outscale: 1.0}
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| 31 |
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costType: sparse
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| 32 |
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critic: {dist: symlog_disc, eps: 1e-05, grad_clip: 100.0, layers: 2, lr: 3e-05, outscale: 0.0,
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| 33 |
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slow_target: true, slow_target_fraction: 0.02, slow_target_update: 1}
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critic_ensemble_size: 1
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critic_ensemble_subsample: 2
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critic_reset_every: 0
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| 37 |
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dataset_size: 1000000
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debug: false
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| 39 |
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decay_model_lr: false
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decoder: {act: SiLU, cnn_depth: 32, cnn_keys: .*image.*, cnn_sigmoid: false, image_dist: mse,
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| 41 |
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kernel_size: 4, minres: 4, mlp_keys: state, mlp_layers: 5, mlp_units: 1024, norm: true,
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| 42 |
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outscale: 1.0, vector_dist: symlog_mse}
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| 43 |
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deterministic_run: true
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| 44 |
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device: cuda:0
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| 45 |
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disag_action_cond: false
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| 46 |
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disag_layers: 4
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| 47 |
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disag_log: true
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| 48 |
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disag_models: 10
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| 49 |
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disag_offset: 1
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| 50 |
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disag_target: stoch
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| 51 |
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disag_units: 400
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| 52 |
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discount: 0.997
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| 53 |
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discount_lambda: 0.95
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| 54 |
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doneType: toEnd
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| 55 |
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done_mode: 0
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| 56 |
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dropout_recur_in_residuals: false
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| 57 |
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dropout_recurrent_prob: 0
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| 58 |
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dt: 0.05
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| 59 |
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dyn_deter: 512
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| 60 |
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dyn_discrete: 0
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dyn_hidden: 512
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dyn_mean_act: none
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dyn_min_std: 0.1
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| 64 |
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dyn_rec_depth: 1
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| 65 |
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dyn_scale: 0.5
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dyn_std_act: sigmoid2
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dyn_stoch: 32
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| 68 |
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ema_decay: 0.999
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| 69 |
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ema_power: 0.8
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| 70 |
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encoder: {act: SiLU, cnn_depth: 32, cnn_keys: .*image.*, kernel_size: 4, minres: 4,
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| 71 |
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mlp_keys: state, mlp_layers: 5, mlp_units: 1024, norm: true, symlog_inputs: true}
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| 72 |
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ensemble_residuals: false
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| 73 |
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envs: 1
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| 74 |
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eval_every: 500
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| 75 |
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eval_num_seeds: 50
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| 76 |
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eval_per_seed: 1
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| 77 |
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eval_state_mean: false
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| 78 |
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evaldir: null
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| 79 |
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exp_name: wm_real_bag
|
| 80 |
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expl_behavior: greedy
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| 81 |
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expl_extr_scale: 0.0
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| 82 |
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expl_intr_scale: 1.0
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| 83 |
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expl_until: 0
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| 84 |
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freeze_encoder: true
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| 85 |
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from_ckpt: null
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| 86 |
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from_prefill_dir: null
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| 87 |
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gamma: 0.9999
|
| 88 |
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grad_clip: 1000
|
| 89 |
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grad_heads: [decoder, cont]
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| 90 |
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grayscale: false
|
| 91 |
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grid_path: /home/kensuke/latent-safety/logs/grid/LS_BRT_v1_w1.25.npy
|
| 92 |
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gt_lx: false
|
| 93 |
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hybrid_critic_fitting: false
|
| 94 |
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hybrid_training: true
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| 95 |
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ignore_base_policy: false
|
| 96 |
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imag_gradient: dynamics
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| 97 |
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imag_gradient_mix: 0.0
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| 98 |
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imag_horizon: 15
|
| 99 |
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image: null
|
| 100 |
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image_size: 64
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| 101 |
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initial: learned
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| 102 |
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initial_joint_train_steps: 0
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| 103 |
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kl_free: 1.0
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| 104 |
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learnedDyn: null
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| 105 |
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learnedMargin: null
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| 106 |
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learningRate: 0.001
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| 107 |
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log_every: 100
|
| 108 |
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log_every_video: 2000
|
| 109 |
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logdir: logs/dreamer_cont/0106/234547
|
| 110 |
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mask_recur: false
|
| 111 |
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maxUpdates: 400000
|
| 112 |
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memoryCapacity: 10000
|
| 113 |
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mode: RA
|
| 114 |
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model_lr: 0.0001
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| 115 |
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model_only_scale: 0.0
|
| 116 |
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multi_task_data: false
|
| 117 |
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name: world_model_new
|
| 118 |
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no_joint_steps: false
|
| 119 |
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norm: true
|
| 120 |
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numT: 25
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| 121 |
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num_actions: 3
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| 122 |
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num_exp_trajs: 300
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num_pts: 5000
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nx: 51
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| 125 |
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ny: 51
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| 126 |
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nz: 51
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obs_keys: [cam_front_view_image, cam_wrist_view_image]
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| 128 |
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obs_lr: 0.001
|
| 129 |
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obs_r: 0.5
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| 130 |
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obs_step: 1
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obs_x: 0
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obs_y: 0
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observation_space:
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| 134 |
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cam_front_view_image: [64, 64, 3]
|
| 135 |
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cam_wrist_view_image: [64, 64, 3]
|
| 136 |
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discount: [1]
|
| 137 |
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state: [8]
|
| 138 |
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offline_evaldir: ''
|
| 139 |
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offline_traindir: ''
|
| 140 |
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opt: adam
|
| 141 |
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opt_eps: 1e-08
|
| 142 |
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outFolder: logs/experiments
|
| 143 |
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parallel: false
|
| 144 |
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plotFigure: null
|
| 145 |
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precision: 32
|
| 146 |
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prefill: 5000
|
| 147 |
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pretrain: 100
|
| 148 |
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pretrain_actor_steps: 0
|
| 149 |
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pretrain_annealing: null
|
| 150 |
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pretrain_bc_loss_only: true
|
| 151 |
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pretrain_ema: false
|
| 152 |
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pretrain_joint_steps: 150000
|
| 153 |
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pretrain_loss: ce
|
| 154 |
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pretrain_on_random: false
|
| 155 |
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pretrain_on_random_mixed: false
|
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|
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pretrain_separately: false
|
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randomSeed: 0
|
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recon_pretrain: true
|
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rep_scale: 0.1
|
| 161 |
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reset_every: 0
|
| 162 |
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residual_discount: 0.95
|
| 163 |
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residual_init_zeros: false
|
| 164 |
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reward_EMA: true
|
| 165 |
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reward_ensemble_size: 1
|
| 166 |
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reward_ensemble_subsample: 1
|
| 167 |
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reward_head: {dist: symlog_disc, layers: 2, loss_scale: 1.0, outscale: 0.0}
|
| 168 |
+
root_dir: /home/yilinwu/Projects/failure_detection/data
|
| 169 |
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sample_freq: 1
|
| 170 |
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seed: 0
|
| 171 |
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seed_in_batches: true
|
| 172 |
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separate_reward_training: true
|
| 173 |
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shape_rewards: true
|
| 174 |
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shift_rewards: false
|
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showTime: null
|
| 176 |
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size: [128, 128]
|
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speed: 1
|
| 178 |
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state_keys: [state]
|
| 179 |
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steps: 1000000.0
|
| 180 |
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steps_per_batch: 100
|
| 181 |
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storeFigure: true
|
| 182 |
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targetRadius: 0.5
|
| 183 |
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task: GraspBag
|
| 184 |
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terminalType: g
|
| 185 |
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time_limit: 200
|
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train_ratio: 1024
|
| 187 |
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train_residuals: true
|
| 188 |
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traindir: null
|
| 189 |
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transformer: {activation: gelu, attn_dropout: 0.05, block_output_dropout: 0.05, causal: true,
|
| 190 |
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context_length: 1500, emb_dropout: 0.05, embed_dim: 64, enabled: true, nn_parameter_for_timesteps: false,
|
| 191 |
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num_heads: 1, num_layers: 1, pred_future_acs: false, sinusoidal_embedding: true,
|
| 192 |
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supervise_all_steps: false}
|
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turnRadius: 0.8
|
| 194 |
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u_max: 1.25
|
| 195 |
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unimix_ratio: 0.01
|
| 196 |
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units: 512
|
| 197 |
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updateTimes: 20
|
| 198 |
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use_reward: false
|
| 199 |
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utd_ratio: 1
|
| 200 |
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validation_mse_trajs: 36
|
| 201 |
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video_pred_log: true
|
| 202 |
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wandb_name: wm_real_bag_bs_16_bl_64_eps_300_sample_freq_1_with_only_policy_data_normalization_abs_action
|
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|
| 204 |
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warmupIter: 500
|
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|
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wm: true
|
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x_max: 1.1
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x_min: -1.1
|
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y_max: 1.1
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y_min: -1.1
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|
|
| 1 |
+
act: SiLU
|
| 2 |
+
actType: Tanh
|
| 3 |
+
action_repeat: 1
|
| 4 |
+
action_space: [8]
|
| 5 |
+
actor: {dist: normal, entropy: 0.0003, eps: 1e-05, grad_clip: 100.0, layers: 2, lr: 3e-05,
|
| 6 |
+
max_std: 1.0, min_std: 0.1, outscale: 1.0, std: learned, temp: 0.1, unimix_ratio: 0.01}
|
| 7 |
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actor_only_scale: 0.0
|
| 8 |
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annealing: null
|
| 9 |
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architecture: [100, 100]
|
| 10 |
+
augment_images: false
|
| 11 |
+
batch_length: 64
|
| 12 |
+
batch_size: 16
|
| 13 |
+
bc_loss_only: false
|
| 14 |
+
bc_reg: true
|
| 15 |
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bc_reg_wd: 1.0
|
| 16 |
+
bc_reg_weight: 1.0
|
| 17 |
+
checkPeriod: 10000
|
| 18 |
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classifier_batch_length: 1500
|
| 19 |
+
classifier_batch_size: 32
|
| 20 |
+
classifier_epoch: 50
|
| 21 |
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classifier_latent_mode: all
|
| 22 |
+
classifier_mode: split
|
| 23 |
+
classifier_padding_mode: last
|
| 24 |
+
compile: true
|
| 25 |
+
consRadius: 0.5
|
| 26 |
+
cont_ensemble_size: 1
|
| 27 |
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cont_ensemble_subsample: 1
|
| 28 |
+
cont_head: {layers: 2, loss_scale: 1.0, outscale: 1.0}
|
| 29 |
+
costType: sparse
|
| 30 |
+
critic: {dist: symlog_disc, eps: 1e-05, grad_clip: 100.0, layers: 2, lr: 3e-05, outscale: 0.0,
|
| 31 |
+
slow_target: true, slow_target_fraction: 0.02, slow_target_update: 1}
|
| 32 |
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critic_ensemble_size: 1
|
| 33 |
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critic_ensemble_subsample: 2
|
| 34 |
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critic_reset_every: 0
|
| 35 |
+
dataset_size: 1000000
|
| 36 |
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debug: false
|
| 37 |
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decay_model_lr: false
|
| 38 |
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decoder: {act: SiLU, cnn_depth: 32, cnn_keys: .*image.*, cnn_sigmoid: false, image_dist: mse,
|
| 39 |
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kernel_size: 4, minres: 4, mlp_keys: state, mlp_layers: 5, mlp_units: 1024, norm: true,
|
| 40 |
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outscale: 1.0, vector_dist: symlog_mse}
|
| 41 |
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deterministic_run: true
|
| 42 |
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device: cuda:0
|
| 43 |
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disag_action_cond: false
|
| 44 |
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disag_layers: 4
|
| 45 |
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disag_log: true
|
| 46 |
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disag_models: 10
|
| 47 |
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disag_offset: 1
|
| 48 |
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disag_target: stoch
|
| 49 |
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disag_units: 400
|
| 50 |
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discount: 0.997
|
| 51 |
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discount_lambda: 0.95
|
| 52 |
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doneType: toEnd
|
| 53 |
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done_mode: 0
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| 54 |
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dropout_recur_in_residuals: false
|
| 55 |
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dropout_recurrent_prob: 0
|
| 56 |
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dt: 0.05
|
| 57 |
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dyn_deter: 512
|
| 58 |
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dyn_discrete: 0
|
| 59 |
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dyn_hidden: 512
|
| 60 |
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dyn_mean_act: none
|
| 61 |
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dyn_min_std: 0.1
|
| 62 |
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dyn_rec_depth: 1
|
| 63 |
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dyn_scale: 0.5
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| 64 |
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dyn_std_act: sigmoid2
|
| 65 |
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dyn_stoch: 32
|
| 66 |
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ema_decay: 0.999
|
| 67 |
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ema_power: 0.8
|
| 68 |
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encoder: {act: SiLU, cnn_depth: 32, cnn_keys: .*image.*, kernel_size: 4, minres: 4,
|
| 69 |
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mlp_keys: state, mlp_layers: 5, mlp_units: 1024, norm: true, symlog_inputs: true}
|
| 70 |
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ensemble_residuals: false
|
| 71 |
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envs: 1
|
| 72 |
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eval_every: 500
|
| 73 |
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eval_num_seeds: 50
|
| 74 |
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eval_per_seed: 1
|
| 75 |
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eval_state_mean: false
|
| 76 |
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evaldir: null
|
| 77 |
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exp_name: wm_real_cup
|
| 78 |
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expl_behavior: greedy
|
| 79 |
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expl_extr_scale: 0.0
|
| 80 |
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expl_intr_scale: 1.0
|
| 81 |
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expl_until: 0
|
| 82 |
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freeze_encoder: true
|
| 83 |
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from_ckpt: null
|
| 84 |
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from_prefill_dir: null
|
| 85 |
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gamma: 0.9999
|
| 86 |
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grad_clip: 1000
|
| 87 |
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grad_heads: [decoder, cont]
|
| 88 |
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grayscale: false
|
| 89 |
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grid_path: /home/kensuke/latent-safety/logs/grid/LS_BRT_v1_w1.25.npy
|
| 90 |
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gt_lx: false
|
| 91 |
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hybrid_critic_fitting: false
|
| 92 |
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hybrid_training: true
|
| 93 |
+
ignore_base_policy: false
|
| 94 |
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imag_gradient: dynamics
|
| 95 |
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imag_gradient_mix: 0.0
|
| 96 |
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imag_horizon: 15
|
| 97 |
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image: null
|
| 98 |
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image_size: 64
|
| 99 |
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initial: learned
|
| 100 |
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initial_joint_train_steps: 0
|
| 101 |
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kl_free: 1.0
|
| 102 |
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learnedDyn: null
|
| 103 |
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learnedMargin: null
|
| 104 |
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learningRate: 0.001
|
| 105 |
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log_every: 100
|
| 106 |
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log_every_video: 2000
|
| 107 |
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logdir: logs/dreamer_cont/1229/222731
|
| 108 |
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mask_recur: false
|
| 109 |
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maxUpdates: 400000
|
| 110 |
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memoryCapacity: 10000
|
| 111 |
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mode: RA
|
| 112 |
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model_lr: 0.0001
|
| 113 |
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model_only_scale: 0.0
|
| 114 |
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multi_task_data: false
|
| 115 |
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name: world_model_new
|
| 116 |
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no_joint_steps: false
|
| 117 |
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norm: true
|
| 118 |
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numT: 25
|
| 119 |
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num_actions: 3
|
| 120 |
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num_exp_trajs: 300
|
| 121 |
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num_pts: 5000
|
| 122 |
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nx: 51
|
| 123 |
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ny: 51
|
| 124 |
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nz: 51
|
| 125 |
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obs_keys: [cam_front_view_image, cam_wrist_view_image]
|
| 126 |
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obs_lr: 0.001
|
| 127 |
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obs_r: 0.5
|
| 128 |
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obs_step: 1
|
| 129 |
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obs_x: 0
|
| 130 |
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obs_y: 0
|
| 131 |
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observation_space:
|
| 132 |
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cam_front_view_image: [64, 64, 3]
|
| 133 |
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cam_wrist_view_image: [64, 64, 3]
|
| 134 |
+
discount: [1]
|
| 135 |
+
state: [8]
|
| 136 |
+
offline_evaldir: ''
|
| 137 |
+
offline_traindir: ''
|
| 138 |
+
opt: adam
|
| 139 |
+
opt_eps: 1e-08
|
| 140 |
+
outFolder: logs/experiments
|
| 141 |
+
parallel: false
|
| 142 |
+
plotFigure: null
|
| 143 |
+
precision: 32
|
| 144 |
+
prefill: 5000
|
| 145 |
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pretrain: 100
|
| 146 |
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pretrain_actor_steps: 0
|
| 147 |
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pretrain_annealing: null
|
| 148 |
+
pretrain_bc_loss_only: true
|
| 149 |
+
pretrain_ema: false
|
| 150 |
+
pretrain_joint_steps: 150000
|
| 151 |
+
pretrain_loss: ce
|
| 152 |
+
pretrain_on_random: false
|
| 153 |
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pretrain_on_random_mixed: false
|
| 154 |
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pretrain_reward_val: null
|
| 155 |
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pretrain_separately: false
|
| 156 |
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randomSeed: 0
|
| 157 |
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recon_pretrain: true
|
| 158 |
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rep_scale: 0.1
|
| 159 |
+
reset_every: 0
|
| 160 |
+
residual_discount: 0.95
|
| 161 |
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residual_init_zeros: false
|
| 162 |
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reward_EMA: true
|
| 163 |
+
reward_ensemble_size: 1
|
| 164 |
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reward_ensemble_subsample: 1
|
| 165 |
+
reward_head: {dist: symlog_disc, layers: 2, loss_scale: 1.0, outscale: 0.0}
|
| 166 |
+
root_dir: /data/wm_data
|
| 167 |
+
sample_freq: 1
|
| 168 |
+
seed: 0
|
| 169 |
+
seed_in_batches: true
|
| 170 |
+
separate_reward_training: true
|
| 171 |
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shape_rewards: true
|
| 172 |
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shift_rewards: false
|
| 173 |
+
showTime: null
|
| 174 |
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size: [128, 128]
|
| 175 |
+
speed: 1
|
| 176 |
+
state_keys: [state]
|
| 177 |
+
steps: 1000000.0
|
| 178 |
+
steps_per_batch: 100
|
| 179 |
+
storeFigure: true
|
| 180 |
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targetRadius: 0.5
|
| 181 |
+
task: GraspCup
|
| 182 |
+
terminalType: g
|
| 183 |
+
time_limit: 200
|
| 184 |
+
train_ratio: 1024
|
| 185 |
+
train_residuals: true
|
| 186 |
+
traindir: null
|
| 187 |
+
transformer: {activation: gelu, attn_dropout: 0.05, block_output_dropout: 0.05, causal: true,
|
| 188 |
+
context_length: 1500, emb_dropout: 0.05, embed_dim: 64, enabled: true, nn_parameter_for_timesteps: false,
|
| 189 |
+
num_heads: 1, num_layers: 1, pred_future_acs: false, sinusoidal_embedding: true,
|
| 190 |
+
supervise_all_steps: false}
|
| 191 |
+
turnRadius: 0.8
|
| 192 |
+
u_max: 1.25
|
| 193 |
+
unimix_ratio: 0.01
|
| 194 |
+
units: 512
|
| 195 |
+
updateTimes: 20
|
| 196 |
+
use_reward: false
|
| 197 |
+
utd_ratio: 1
|
| 198 |
+
validation_mse_trajs: 36
|
| 199 |
+
video_pred_log: true
|
| 200 |
+
wandb_name:
|
| 201 |
+
wm_real_cup_bs_16_bl_64_eps_300_sample_freq_1_with_only_policy_data_normalization
|
| 202 |
+
warmup: true
|
| 203 |
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warmupIter: 500
|
| 204 |
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weight_decay: 0.0
|
| 205 |
+
wm: true
|
| 206 |
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x_max: 1.1
|
| 207 |
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x_min: -1.1
|
| 208 |
+
y_max: 1.1
|
| 209 |
+
y_min: -1.1
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cup_ckpt/1229/222731/pretrain_joint.pt
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ADDED
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