Hugging Face's logo

wmFrank
/
sample-factory-2-atari-beamrider

Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
Eval Results
Model card Files Metrics Community
1
sample-factory-2-atari-beamrider
File size: 3,837 Bytes 
d3dfb8d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
 
{
  "help": false,
  "algo": "APPO",
  "env": "atari_beamrider",
  "experiment": "02_atari_envs_see_123_env_atari_beamrider",
  "train_dir": "./train_dir/atari_envs/atari_envs_",
  "restart_behavior": "resume",
  "device": "gpu",
  "seed": 123,
  "num_policies": 1,
  "async_rl": false,
  "serial_mode": false,
  "batched_sampling": false,
  "num_batches_to_accumulate": 2,
  "worker_num_splits": 1,
  "policy_workers_per_policy": 1,
  "max_policy_lag": 10000,
  "num_workers": 8,
  "num_envs_per_worker": 1,
  "batch_size": 256,
  "num_batches_per_epoch": 4,
  "num_epochs": 4,
  "rollout": 128,
  "recurrence": 1,
  "shuffle_minibatches": false,
  "gamma": 0.99,
  "reward_scale": 1.0,
  "reward_clip": 1000.0,
  "value_bootstrap": false,
  "normalize_returns": false,
  "exploration_loss_coeff": 0.01,
  "value_loss_coeff": 0.5,
  "kl_loss_coeff": 0.0,
  "exploration_loss": "entropy",
  "gae_lambda": 0.95,
  "ppo_clip_ratio": 0.1,
  "ppo_clip_value": 1.0,
  "with_vtrace": false,
  "vtrace_rho": 1.0,
  "vtrace_c": 1.0,
  "optimizer": "adam",
  "adam_eps": 1e-05,
  "adam_beta1": 0.9,
  "adam_beta2": 0.999,
  "max_grad_norm": 0.5,
  "learning_rate": 0.00025,
  "lr_schedule": "linear_decay",
  "lr_schedule_kl_threshold": 0.008,
  "obs_subtract_mean": 0.0,
  "obs_scale": 255.0,
  "normalize_input": false,
  "normalize_input_keys": null,
  "decorrelate_experience_max_seconds": 0,
  "decorrelate_envs_on_one_worker": true,
  "actor_worker_gpus": [],
  "set_workers_cpu_affinity": true,
  "force_envs_single_thread": true,
  "default_niceness": 0,
  "experiment_summaries_interval": 3,
  "stats_avg": 100,
  "summaries_use_frameskip": false,
  "train_for_env_steps": 10000000,
  "train_for_seconds": 10000000000,
  "save_every_sec": 120,
  "keep_checkpoints": 3,
  "load_checkpoint_kind": "latest",
  "save_milestones_sec": -1,
  "save_best_every_sec": 5,
  "save_best_metric": "reward",
  "save_best_after": 100000,
  "benchmark": false,
  "encoder_type": "conv",
  "encoder_subtype": "convnet_atari",
  "encoder_custom": null,
  "encoder_extra_fc_layers": 1,
  "hidden_size": 512,
  "nonlinearity": "relu",
  "policy_initialization": "orthogonal",
  "policy_init_gain": 1.0,
  "actor_critic_share_weights": true,
  "adaptive_stddev": false,
  "initial_stddev": 1.0,
  "use_rnn": false,
  "rnn_type": "gru",
  "rnn_num_layers": 1,
  "env_gpu_actions": false,
  "env_frameskip": 4,
  "env_framestack": 4,
  "pixel_format": "CHW",
  "use_record_episode_statistics": true,
  "with_wandb": true,
  "wandb_user": null,
  "wandb_project": "atari-benchmark",
  "wandb_group": "atari_all",
  "wandb_job_type": "SF",
  "wandb_tags": [
    "run5"
  ],
  "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_batch_size": false,
  "pbt_optimize_gamma": false,
  "pbt_target_objective": "true_objective",
  "pbt_perturb_min": 1.05,
  "pbt_perturb_max": 1.5,
  "command_line": "--algo=APPO --with_wandb=True --wandb_project=atari-benchmark --wandb_group=atari_all --wandb_tags run5 --seed=123 --env=atari_beamrider --experiment=02_atari_envs_see_123_env_atari_beamrider --train_dir=./train_dir/atari_envs/atari_envs_",
  "cli_args": {
    "algo": "APPO",
    "env": "atari_beamrider",
    "experiment": "02_atari_envs_see_123_env_atari_beamrider",
    "train_dir": "./train_dir/atari_envs/atari_envs_",
    "seed": 123,
    "with_wandb": true,
    "wandb_project": "atari-benchmark",
    "wandb_group": "atari_all",
    "wandb_tags": [
      "run5"
    ]
  },
  "git_hash": "unknown",
  "git_repo_name": "not a git repository",
  "wandb_unique_id": "02_atari_envs_see_123_env_atari_beamrider_20220727_174746_080062"
}