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Parent(s):
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Upload . with huggingface_hub
Browse files- .gitattributes +1 -0
- .summary/0/events.out.tfevents.1677444320.9f906ffe5836 +3 -0
- README.md +56 -0
- checkpoint_p0/best_000000883_3616768_reward_26.803.pth +3 -0
- checkpoint_p0/checkpoint_000000878_3596288.pth +3 -0
- checkpoint_p0/checkpoint_000000978_4005888.pth +3 -0
- config.json +142 -0
- replay.mp4 +3 -0
- sf_log.txt +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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replay.mp4 filter=lfs diff=lfs merge=lfs -text
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.summary/0/events.out.tfevents.1677444320.9f906ffe5836
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version https://git-lfs.github.com/spec/v1
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oid sha256:96cef94b2fe61beb5cc786110b14588cd9fa0b0d184b447ddc8adb73bc6c9f17
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size 979885
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README.md
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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: doom_health_gathering_supreme
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type: doom_health_gathering_supreme
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metrics:
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- type: mean_reward
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value: 11.07 +/- 4.34
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name: mean_reward
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verified: false
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---
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A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
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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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## Downloading the model
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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 Convolution/rl_course_vizdoom_health_gathering_supreme
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```
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## Using the model
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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 <path.to.enjoy.module> --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme
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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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## Training with this model
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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 <path.to.train.module> --algo=APPO --env=doom_health_gathering_supreme --train_dir=./train_dir --experiment=rl_course_vizdoom_health_gathering_supreme --restart_behavior=resume --train_for_env_steps=10000000000
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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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checkpoint_p0/best_000000883_3616768_reward_26.803.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a806b903ebe33d06d60baede17eaa439a10960e67abf5514580074fe5818740
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size 34928614
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checkpoint_p0/checkpoint_000000878_3596288.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:dacaecda9acab18526c65fc99d480b1d9e49afc13c4cd81047878c2ccf96e2d1
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size 34929028
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checkpoint_p0/checkpoint_000000978_4005888.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0ac5be7c005de971acdfefe34d7512a0866b3b34278694ec7d315583d3cecbe
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size 34929028
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config.json
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{
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"help": false,
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"algo": "APPO",
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"env": "doom_health_gathering_supreme",
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"experiment": "default_experiment",
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"train_dir": "/content/train_dir",
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"restart_behavior": "resume",
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"device": "gpu",
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"seed": null,
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"num_policies": 1,
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"async_rl": true,
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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": 4,
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"batch_size": 1024,
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"num_batches_per_epoch": 1,
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"num_epochs": 1,
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"rollout": 32,
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"recurrence": 32,
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"shuffle_minibatches": false,
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"gamma": 0.99,
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"reward_scale": 1.0,
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"reward_clip": 1000.0,
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"value_bootstrap": false,
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"normalize_returns": true,
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"exploration_loss_coeff": 0.001,
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"value_loss_coeff": 0.5,
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"kl_loss_coeff": 0.0,
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"exploration_loss": "symmetric_kl",
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"gae_lambda": 0.95,
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"ppo_clip_ratio": 0.1,
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"ppo_clip_value": 0.2,
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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": 4.0,
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"learning_rate": 0.0001,
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"lr_schedule": "constant",
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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": 255.0,
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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": 10,
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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": 600,
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"train_for_env_steps": 4000000,
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"train_for_seconds": 10000000000,
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"save_every_sec": 120,
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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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512,
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512
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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": true,
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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": "elu",
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"policy_initialization": "orthogonal",
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"policy_init_gain": 1.0,
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"actor_critic_share_weights": true,
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"adaptive_stddev": true,
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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": 4,
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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": false,
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"wandb_user": null,
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"wandb_project": "sample_factory",
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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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"num_agents": -1,
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"num_humans": 0,
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"num_bots": -1,
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"start_bot_difficulty": null,
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"timelimit": null,
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"res_w": 128,
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"res_h": 72,
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"wide_aspect_ratio": false,
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"eval_env_frameskip": 1,
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"fps": 35,
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"command_line": "--env=doom_health_gathering_supreme --num_workers=8 --num_envs_per_worker=4 --train_for_env_steps=4000000",
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"cli_args": {
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"env": "doom_health_gathering_supreme",
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"num_workers": 8,
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"num_envs_per_worker": 4,
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"train_for_env_steps": 4000000
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},
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"git_hash": "unknown",
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"git_repo_name": "not a git repository"
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}
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e4f6061b1a1d574546f6303f494660c6d28b20e021fd4200d9da4ce56e5fd88
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size 21204944
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sf_log.txt
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