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Upload . with huggingface_hub

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.gitattributes CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ ---
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+ library_name: sample-factory
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+ tags:
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - sample-factory
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+ model-index:
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+ - name: APPO
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+ results:
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+ - task:
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+ type: reinforcement-learning
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+ name: reinforcement-learning
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+ dataset:
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+ name: drawer-close-v2
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+ type: drawer-close-v2
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+ metrics:
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+ - type: mean_reward
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+ value: 4867.47 +/- 5.45
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+ name: mean_reward
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+ verified: false
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+ ---
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+
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+ A(n) **APPO** model trained on the **drawer-close-v2** environment.
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+
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+ This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
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+ Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
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+
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+
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+ ## Downloading the model
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+
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+ After installing Sample-Factory, download the model with:
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+ ```
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+ python -m sample_factory.huggingface.load_from_hub -r qgallouedec/sample-factory-drawer-close-v2
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+ ```
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+
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+
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+ ## Using the model
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+
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+ To run the model after download, use the `enjoy` script corresponding to this environment:
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+ ```
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+ python -m enjoy --algo=APPO --env=drawer-close-v2 --train_dir=./train_dir --experiment=sample-factory-drawer-close-v2
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+ ```
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+
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+
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+ You can also upload models to the Hugging Face Hub using the same script with the `--push_to_hub` flag.
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+ See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
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+
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+ ## Training with this model
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+
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+ To continue training with this model, use the `train` script corresponding to this environment:
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+ ```
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+ python -m train --algo=APPO --env=drawer-close-v2 --train_dir=./train_dir --experiment=sample-factory-drawer-close-v2 --restart_behavior=resume --train_for_env_steps=10000000000
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+ ```
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+
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+ Note, you may have to adjust `--train_for_env_steps` to a suitably high number as the experiment will resume at the number of steps it concluded at.
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+
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+ {
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+ "help": false,
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+ "algo": "APPO",
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+ "env": "drawer-close-v2",
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+ "experiment": "drawer-close-v2",
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+ "train_dir": "/home/qgallouedec/gia/data/envs/metaworld/train_dir",
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+ "restart_behavior": "resume",
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+ "device": "cpu",
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+ "seed": null,
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+ "num_policies": 1,
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+ "async_rl": false,
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+ "serial_mode": false,
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+ "batched_sampling": false,
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+ "num_batches_to_accumulate": 2,
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+ "worker_num_splits": 2,
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+ "policy_workers_per_policy": 1,
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+ "max_policy_lag": 1000,
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+ "num_workers": 8,
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+ "num_envs_per_worker": 8,
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+ "batch_size": 1024,
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+ "num_batches_per_epoch": 4,
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+ "num_epochs": 2,
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+ "rollout": 64,
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+ "recurrence": 1,
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+ "shuffle_minibatches": false,
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+ "gamma": 0.99,
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+ "reward_scale": 0.01,
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+ "reward_clip": 1000.0,
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+ "value_bootstrap": true,
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+ "normalize_returns": true,
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+ "exploration_loss_coeff": 0.0,
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+ "value_loss_coeff": 1.3,
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+ "kl_loss_coeff": 0.1,
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+ "exploration_loss": "entropy",
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+ "gae_lambda": 0.95,
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+ "ppo_clip_ratio": 0.2,
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+ "ppo_clip_value": 1.0,
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+ "with_vtrace": false,
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+ "vtrace_rho": 1.0,
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+ "vtrace_c": 1.0,
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+ "optimizer": "adam",
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+ "adam_eps": 1e-06,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "max_grad_norm": 3.5,
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+ "learning_rate": 0.00295,
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+ "lr_schedule": "linear_decay",
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+ "lr_schedule_kl_threshold": 0.008,
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+ "lr_adaptive_min": 1e-06,
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+ "lr_adaptive_max": 0.01,
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+ "obs_subtract_mean": 0.0,
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+ "obs_scale": 1.0,
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+ "normalize_input": true,
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+ "normalize_input_keys": null,
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+ "decorrelate_experience_max_seconds": 0,
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+ "decorrelate_envs_on_one_worker": true,
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+ "actor_worker_gpus": [],
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+ "set_workers_cpu_affinity": true,
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+ "force_envs_single_thread": false,
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+ "default_niceness": 0,
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+ "log_to_file": true,
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+ "experiment_summaries_interval": 3,
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+ "flush_summaries_interval": 30,
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+ "stats_avg": 100,
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+ "summaries_use_frameskip": true,
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+ "heartbeat_interval": 20,
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+ "heartbeat_reporting_interval": 180,
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+ "train_for_env_steps": 100000000,
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+ "train_for_seconds": 10000000000,
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+ "save_every_sec": 15,
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+ "keep_checkpoints": 2,
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+ "load_checkpoint_kind": "latest",
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+ "save_milestones_sec": -1,
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+ "save_best_every_sec": 5,
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+ "save_best_metric": "reward",
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+ "save_best_after": 100000,
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+ "benchmark": false,
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+ "encoder_mlp_layers": [
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+ 64,
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+ 64
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+ ],
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+ "encoder_conv_architecture": "convnet_simple",
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+ "encoder_conv_mlp_layers": [
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+ 512
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+ ],
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+ "use_rnn": false,
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+ "rnn_size": 512,
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+ "rnn_type": "gru",
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+ "rnn_num_layers": 1,
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+ "decoder_mlp_layers": [],
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+ "nonlinearity": "tanh",
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+ "policy_initialization": "torch_default",
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+ "policy_init_gain": 1.0,
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+ "actor_critic_share_weights": true,
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+ "adaptive_stddev": false,
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+ "continuous_tanh_scale": 0.0,
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+ "initial_stddev": 1.0,
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+ "use_env_info_cache": false,
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+ "env_gpu_actions": false,
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+ "env_gpu_observations": true,
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+ "env_frameskip": 1,
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+ "env_framestack": 1,
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+ "pixel_format": "CHW",
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+ "use_record_episode_statistics": false,
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+ "with_wandb": true,
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+ "wandb_user": "qgallouedec",
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+ "wandb_project": "sample_facotry_metaworld",
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+ "wandb_group": null,
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+ "wandb_job_type": "SF",
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+ "wandb_tags": [],
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+ "with_pbt": false,
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+ "pbt_mix_policies_in_one_env": true,
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+ "pbt_period_env_steps": 5000000,
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+ "pbt_start_mutation": 20000000,
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+ "pbt_replace_fraction": 0.3,
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+ "pbt_mutation_rate": 0.15,
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+ "pbt_replace_reward_gap": 0.1,
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+ "pbt_replace_reward_gap_absolute": 1e-06,
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+ "pbt_optimize_gamma": false,
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+ "pbt_target_objective": "true_objective",
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+ "pbt_perturb_min": 1.1,
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+ "pbt_perturb_max": 1.5,
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+ "command_line": "--env drawer-close-v2 --experiment drawer-close-v2 --with_wandb True --wandb_user qgallouedec --wandb_project sample_facotry_metaworld --train_for_env_steps 100000000 --reward_scale 0.01",
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+ "cli_args": {
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+ "env": "drawer-close-v2",
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+ "experiment": "drawer-close-v2",
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+ "reward_scale": 0.01,
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+ "train_for_env_steps": 100000000,
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+ "with_wandb": true,
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+ "wandb_user": "qgallouedec",
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+ "wandb_project": "sample_facotry_metaworld"
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+ },
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+ "git_hash": "44aa76c42f03edbe61877f2b20879ac5319e5842",
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+ "git_repo_name": "https://github.com/huggingface/gia",
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+ "wandb_unique_id": "drawer-close-v2_20230308_032952_339883"
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+ }
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