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  1. README.md +23 -1
  2. cfg.json +164 -0
  3. checkpoint_p0/.DS_Store +0 -0
  4. checkpoint_p0/best_000031232_63963136_reward_21.000.pth +3 -0
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README.md CHANGED
@@ -1,3 +1,25 @@
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  ---
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
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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: atari_pong
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+ type: atari_pong
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+ metrics:
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+ - type: mean_reward
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+ value: 20.95 +/- 0.22
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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 **atari_pong** 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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+
cfg.json ADDED
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+ {
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+ "help": false,
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+ "algo": "APPO",
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+ "env": "atari_pong",
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+ "experiment": "20221014_2B__atari_pong_1111",
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+ "train_dir": "/gpfsscratch/rech/ajs/utv52ia/sample_factory/train_dir/atari_2b",
7
+ "restart_behavior": "resume",
8
+ "device": "gpu",
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+ "seed": 1111,
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+ "num_policies": 1,
11
+ "async_rl": true,
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+ "serial_mode": false,
13
+ "batched_sampling": true,
14
+ "num_batches_to_accumulate": 2,
15
+ "worker_num_splits": 1,
16
+ "policy_workers_per_policy": 1,
17
+ "max_policy_lag": 1000,
18
+ "num_workers": 4,
19
+ "num_envs_per_worker": 1,
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+ "batch_size": 1024,
21
+ "num_batches_per_epoch": 8,
22
+ "num_epochs": 2,
23
+ "rollout": 64,
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+ "recurrence": 1,
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+ "shuffle_minibatches": false,
26
+ "gamma": 0.99,
27
+ "reward_scale": 1.0,
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+ "reward_clip": 1000.0,
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+ "value_bootstrap": false,
30
+ "normalize_returns": true,
31
+ "exploration_loss_coeff": 0.0004677351413,
32
+ "value_loss_coeff": 0.5,
33
+ "kl_loss_coeff": 0.0,
34
+ "exploration_loss": "entropy",
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+ "gae_lambda": 0.95,
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+ "ppo_clip_ratio": 0.1,
37
+ "ppo_clip_value": 1.0,
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+ "with_vtrace": false,
39
+ "vtrace_rho": 1.0,
40
+ "vtrace_c": 1.0,
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+ "optimizer": "adam",
42
+ "adam_eps": 1e-05,
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+ "adam_beta1": 0.9,
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+ "adam_beta2": 0.999,
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+ "max_grad_norm": 0.0,
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+ "learning_rate": 0.0003033891184,
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+ "lr_schedule": "linear_decay",
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+ "lr_schedule_kl_threshold": 0.008,
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+ "obs_subtract_mean": 0.0,
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+ "obs_scale": 255.0,
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+ "normalize_input": true,
52
+ "normalize_input_keys": [
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+ "obs"
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+ ],
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+ "decorrelate_experience_max_seconds": 1,
56
+ "decorrelate_envs_on_one_worker": true,
57
+ "actor_worker_gpus": [],
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+ "set_workers_cpu_affinity": true,
59
+ "force_envs_single_thread": false,
60
+ "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": 10,
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+ "heartbeat_reporting_interval": 60,
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+ "train_for_env_steps": 2000000000,
69
+ "train_for_seconds": 3600000,
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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": 1200,
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+ "save_best_every_sec": 5,
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+ "save_best_metric": "reward",
76
+ "save_best_after": 100000,
77
+ "benchmark": false,
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+ "encoder_mlp_layers": [
79
+ 512,
80
+ 512
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+ ],
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+ "encoder_conv_architecture": "convnet_atari",
83
+ "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": "relu",
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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": 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_frameskip": 4,
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+ "env_framestack": 4,
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+ "pixel_format": "CHW",
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+ "use_record_episode_statistics": true,
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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_batch_size": false,
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+ "pbt_optimize_gamma": false,
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+ "pbt_target_objective": "true_objective",
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+ "pbt_perturb_min": 1.05,
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+ "pbt_perturb_max": 1.5,
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+ "env_agents": 512,
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+ "command_line": "--seed=1111 --experiment=20221014_2B__atari_pong_1111 --env=atari_pong --train_for_seconds=3600000 --algo=APPO --gamma=0.99 --num_workers=4 --num_envs_per_worker=1 --worker_num_splits=1 --env_agents=512 --benchmark=False --max_grad_norm=0.0 --decorrelate_experience_max_seconds=1 --encoder_conv_architecture=convnet_atari --encoder_conv_mlp_layers 512 --nonlinearity=relu --num_policies=1 --normalize_input=True --normalize_input_keys obs --normalize_returns=True --async_rl=True --batched_sampling=True --train_for_env_steps=2000000000 --save_milestones_sec=1200 --train_dir /gpfsscratch/rech/ajs/utv52ia/sample_factory/train_dir/atari_2b --rollout 64 --exploration_loss_coeff 0.0004677351413 --num_epochs 2 --batch_size 1024 --num_batches_per_epoch 8 --learning_rate 0.0003033891184",
125
+ "cli_args": {
126
+ "algo": "APPO",
127
+ "env": "atari_pong",
128
+ "experiment": "20221014_2B__atari_pong_1111",
129
+ "train_dir": "/gpfsscratch/rech/ajs/utv52ia/sample_factory/train_dir/atari_2b",
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+ "seed": 1111,
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+ "num_policies": 1,
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+ "async_rl": true,
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+ "batched_sampling": true,
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+ "worker_num_splits": 1,
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+ "num_workers": 4,
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+ "num_envs_per_worker": 1,
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+ "batch_size": 1024,
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+ "num_batches_per_epoch": 8,
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+ "num_epochs": 2,
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+ "rollout": 64,
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+ "gamma": 0.99,
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+ "normalize_returns": true,
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+ "exploration_loss_coeff": 0.0004677351413,
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+ "max_grad_norm": 0.0,
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+ "learning_rate": 0.0003033891184,
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+ "normalize_input": true,
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+ "normalize_input_keys": [
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+ "obs"
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+ ],
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+ "decorrelate_experience_max_seconds": 1,
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+ "train_for_env_steps": 2000000000,
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+ "train_for_seconds": 3600000,
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+ "save_milestones_sec": 1200,
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+ "benchmark": false,
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+ "encoder_conv_architecture": "convnet_atari",
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+ "encoder_conv_mlp_layers": [
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+ 512
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+ ],
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+ "nonlinearity": "relu",
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+ "env_agents": 512
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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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