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appo-atari_pong-sota

Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
PongNoFrameskip-v4
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appo-atari_pong-sota
File size: 4,997 Bytes 
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{
  "help": false,
  "algo": "APPO",
  "env": "atari_pong",
  "experiment": "atari_pong_APPO",
  "train_dir": "./train_atari",
  "restart_behavior": "restart",
  "device": "gpu",
  "seed": 1234,
  "num_policies": 2,
  "async_rl": true,
  "serial_mode": false,
  "batched_sampling": true,
  "num_batches_to_accumulate": 2,
  "worker_num_splits": 1,
  "policy_workers_per_policy": 1,
  "max_policy_lag": 1000,
  "num_workers": 16,
  "num_envs_per_worker": 2,
  "batch_size": 1024,
  "num_batches_per_epoch": 8,
  "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": true,
  "exploration_loss_coeff": 0.0004677351413,
  "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": 0.0,
  "learning_rate": 0.0003033891184,
  "lr_schedule": "linear_decay",
  "lr_schedule_kl_threshold": 0.008,
  "lr_adaptive_min": 1e-06,
  "lr_adaptive_max": 0.01,
  "obs_subtract_mean": 0.0,
  "obs_scale": 255.0,
  "normalize_input": true,
  "normalize_input_keys": [
    "obs"
  ],
  "decorrelate_experience_max_seconds": 0,
  "decorrelate_envs_on_one_worker": true,
  "actor_worker_gpus": [],
  "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": 120,
  "keep_checkpoints": 2,
  "load_checkpoint_kind": "latest",
  "save_milestones_sec": 1200,
  "save_best_every_sec": 5,
  "save_best_metric": "reward",
  "save_best_after": 100000,
  "benchmark": false,
  "encoder_mlp_layers": [
    512,
    512
  ],
  "encoder_conv_architecture": "convnet_atari",
  "encoder_conv_mlp_layers": [
    512
  ],
  "use_rnn": false,
  "rnn_size": 512,
  "rnn_type": "gru",
  "rnn_num_layers": 1,
  "decoder_mlp_layers": [],
  "nonlinearity": "relu",
  "policy_initialization": "orthogonal",
  "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": false,
  "env_gpu_actions": false,
  "env_gpu_observations": true,
  "env_frameskip": 4,
  "env_framestack": 4,
  "pixel_format": "CHW",
  "use_record_episode_statistics": true,
  "with_wandb": true,
  "wandb_user": "matt-stammers",
  "wandb_project": "atari_APPO",
  "wandb_group": "atari_pong",
  "wandb_job_type": "SF",
  "wandb_tags": [
    "atari"
  ],
  "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,
  "command_line": "--algo=APPO --env=atari_pong --experiment=atari_pong_APPO --num_policies=2 --restart_behavior=restart --train_dir=./train_atari --train_for_env_steps=100000000 --seed=1234 --num_workers=16 --num_envs_per_worker=2 --num_batches_per_epoch=8 --async_rl=true --batched_sampling=true --batch_size=1024 --max_grad_norm=0 --learning_rate=0.0003033891184 --heartbeat_interval=10 --heartbeat_reporting_interval=60 --save_milestones_sec=1200 --num_epochs=4 --exploration_loss_coeff=0.0004677351413 --with_wandb=true --wandb_user=matt-stammers --wandb_project=atari_APPO --wandb_group=atari_pong --wandb_job_type=SF --wandb_tags=atari",
  "cli_args": {
    "algo": "APPO",
    "env": "atari_pong",
    "experiment": "atari_pong_APPO",
    "train_dir": "./train_atari",
    "restart_behavior": "restart",
    "seed": 1234,
    "num_policies": 2,
    "async_rl": true,
    "batched_sampling": true,
    "num_workers": 16,
    "num_envs_per_worker": 2,
    "batch_size": 1024,
    "num_batches_per_epoch": 8,
    "num_epochs": 4,
    "exploration_loss_coeff": 0.0004677351413,
    "max_grad_norm": 0.0,
    "learning_rate": 0.0003033891184,
    "heartbeat_interval": 10,
    "heartbeat_reporting_interval": 60,
    "train_for_env_steps": 100000000,
    "save_milestones_sec": 1200,
    "with_wandb": true,
    "wandb_user": "matt-stammers",
    "wandb_project": "atari_APPO",
    "wandb_group": "atari_pong",
    "wandb_job_type": "SF",
    "wandb_tags": [
      "atari"
    ]
  },
  "git_hash": "5fff97c2f535da5987d358cdbe6927cccd43621e",
  "git_repo_name": "not a git repository",
  "wandb_unique_id": "atari_pong_APPO_20231014_010121_934395"
}