Upload . with huggingface_hub

.summary/0/events.out.tfevents.1669678033.brain3.usc.edu

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README.md

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+---
+library_name: sample-factory
+tags:
+- deep-reinforcement-learning
+- reinforcement-learning
+- sample-factory
+---
+
+A(n) **APPO** model trained on the **Ant** environment.
+
+This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
+Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
+
+
+## Downloading the model
+
+After installing Sample-Factory, download the model with:
+```
+python -m sample_factory.huggingface.load_from_hub -r andrewzhang505/ant_test3
+```
+
+    

checkpoint_p0/best_000011912_97583104_reward_11768.932.pth

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checkpoint_p0/checkpoint_000012072_98893824.pth

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checkpoint_p0/checkpoint_000012216_100073472.pth

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config.json

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+{
+  "help": false,
+  "algo": "APPO",
+  "env": "Ant",
+  "experiment": "01_v079_basic_ige_see_3090204_env_Ant_u.rnn_True_rec_16",
+  "train_dir": "./train_dir/v079_basic_ige/v079_basic_ige_slurm",
+  "restart_behavior": "resume",
+  "device": "gpu",
+  "seed": 3090204,
+  "num_policies": 1,
+  "async_rl": false,
+  "serial_mode": true,
+  "batched_sampling": true,
+  "num_batches_to_accumulate": 2,
+  "worker_num_splits": 1,
+  "policy_workers_per_policy": 1,
+  "max_policy_lag": 1000,
+  "num_workers": 1,
+  "num_envs_per_worker": 1,
+  "batch_size": 32768,
+  "num_batches_per_epoch": 2,
+  "num_epochs": 4,
+  "rollout": 16,
+  "recurrence": 16,
+  "shuffle_minibatches": false,
+  "gamma": 0.99,
+  "reward_scale": 0.01,
+  "reward_clip": 1000.0,
+  "value_bootstrap": true,
+  "normalize_returns": true,
+  "exploration_loss_coeff": 0.0,
+  "value_loss_coeff": 2.0,
+  "kl_loss_coeff": 0.0,
+  "exploration_loss": "entropy",
+  "gae_lambda": 0.95,
+  "ppo_clip_ratio": 0.2,
+  "ppo_clip_value": 1.0,
+  "with_vtrace": false,
+  "vtrace_rho": 1.0,
+  "vtrace_c": 1.0,
+  "optimizer": "adam",
+  "adam_eps": 1e-06,
+  "adam_beta1": 0.9,
+  "adam_beta2": 0.999,
+  "max_grad_norm": 0.0,
+  "learning_rate": 0.0003,
+  "lr_schedule": "kl_adaptive_epoch",
+  "lr_schedule_kl_threshold": 0.008,
+  "obs_subtract_mean": 0.0,
+  "obs_scale": 1.0,
+  "normalize_input": true,
+  "normalize_input_keys": null,
+  "decorrelate_experience_max_seconds": 0,
+  "decorrelate_envs_on_one_worker": true,
+  "actor_worker_gpus": [
+    0
+  ],
+  "set_workers_cpu_affinity": true,
+  "force_envs_single_thread": false,
+  "default_niceness": 0,
+  "log_to_file": true,
+  "experiment_summaries_interval": 3,
+  "flush_summaries_interval": 30,
+  "stats_avg": 100,
+  "summaries_use_frameskip": true,
+  "heartbeat_interval": 10,
+  "heartbeat_reporting_interval": 60,
+  "train_for_env_steps": 100000000,
+  "train_for_seconds": 10000000000,
+  "save_every_sec": 15,
+  "keep_checkpoints": 2,
+  "load_checkpoint_kind": "latest",
+  "save_milestones_sec": -1,
+  "save_best_every_sec": 5,
+  "save_best_metric": "reward",
+  "save_best_after": 5000000,
+  "benchmark": false,
+  "encoder_mlp_layers": [
+    256,
+    128,
+    64
+  ],
+  "encoder_conv_architecture": "convnet_simple",
+  "encoder_conv_mlp_layers": [
+    512
+  ],
+  "use_rnn": true,
+  "rnn_size": 512,
+  "rnn_type": "gru",
+  "rnn_num_layers": 1,
+  "decoder_mlp_layers": [],
+  "nonlinearity": "elu",
+  "policy_initialization": "torch_default",
+  "policy_init_gain": 1.0,
+  "actor_critic_share_weights": true,
+  "adaptive_stddev": false,
+  "continuous_tanh_scale": 0.0,
+  "initial_stddev": 1.0,
+  "use_env_info_cache": true,
+  "env_gpu_actions": true,
+  "env_gpu_observations": true,
+  "env_frameskip": 1,
+  "env_framestack": 1,
+  "pixel_format": "CHW",
+  "use_record_episode_statistics": false,
+  "with_wandb": true,
+  "wandb_user": null,
+  "wandb_project": "sample_factory",
+  "wandb_group": "sf2_v079_basic_ige",
+  "wandb_job_type": "SF",
+  "wandb_tags": [
+    "v079_basic_ige"
+  ],
+  "with_pbt": false,
+  "pbt_mix_policies_in_one_env": true,
+  "pbt_period_env_steps": 5000000,
+  "pbt_start_mutation": 20000000,
+  "pbt_replace_fraction": 0.3,
+  "pbt_mutation_rate": 0.15,
+  "pbt_replace_reward_gap": 0.1,
+  "pbt_replace_reward_gap_absolute": 1e-06,
+  "pbt_optimize_gamma": false,
+  "pbt_target_objective": "true_objective",
+  "pbt_perturb_min": 1.1,
+  "pbt_perturb_max": 1.5,
+  "env_agents": -1,
+  "obs_key": "obs",
+  "subtask": null,
+  "ige_api_version": "preview4",
+  "eval_stats": false,
+  "command_line": "--actor_worker_gpus 0 --wandb_project=sample_factory --train_for_env_steps=100000000 --with_wandb=True --wandb_tags v079_basic_ige --wandb_group=sf2_v079_basic_ige --seed=3090204 --env=Ant --use_rnn=True --recurrence=16 --experiment=01_v079_basic_ige_see_3090204_env_Ant_u.rnn_True_rec_16 --train_dir=./train_dir/v079_basic_ige/v079_basic_ige_slurm",
+  "cli_args": {
+    "env": "Ant",
+    "experiment": "01_v079_basic_ige_see_3090204_env_Ant_u.rnn_True_rec_16",
+    "train_dir": "./train_dir/v079_basic_ige/v079_basic_ige_slurm",
+    "seed": 3090204,
+    "recurrence": 16,
+    "actor_worker_gpus": [
+      0
+    ],
+    "train_for_env_steps": 100000000,
+    "use_rnn": true,
+    "with_wandb": true,
+    "wandb_project": "sample_factory",
+    "wandb_group": "sf2_v079_basic_ige",
+    "wandb_tags": [
+      "v079_basic_ige"
+    ]
+  },
+  "git_hash": "0b1d3fc4f93b814b0987f4f5ac91119ac2078725",
+  "git_repo_name": "https://github.com/andrewzhang505/sample-factory.git",
+  "wandb_unique_id": "01_v079_basic_ige_see_3090204_env_Ant_u.rnn_True_rec_16_20221128_152709_172127"
+}