Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AtlantisNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_atlantis_1111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_atlantis_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_atlantis_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
File size: 5,276 Bytes
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"help": false,
"algo": "APPO",
"env": "atari_atlantis",
"experiment": "20221014_2B__atari_atlantis_1111",
"train_dir": "/gpfsscratch/rech/ajs/utv52ia/sample_factory/train_dir/atari_2b",
"restart_behavior": "resume",
"device": "gpu",
"seed": 1111,
"num_policies": 1,
"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": 4,
"num_envs_per_worker": 1,
"batch_size": 1024,
"num_batches_per_epoch": 8,
"num_epochs": 2,
"rollout": 64,
"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,
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"adam_beta2": 0.999,
"max_grad_norm": 0.0,
"learning_rate": 0.0003033891184,
"lr_schedule": "linear_decay",
"lr_schedule_kl_threshold": 0.008,
"obs_subtract_mean": 0.0,
"obs_scale": 255.0,
"normalize_input": true,
"normalize_input_keys": [
"obs"
],
"decorrelate_experience_max_seconds": 1,
"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": 2000000000,
"train_for_seconds": 3600000,
"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_frameskip": 4,
"env_framestack": 4,
"pixel_format": "CHW",
"use_record_episode_statistics": true,
"with_wandb": false,
"wandb_user": null,
"wandb_project": "sample_factory",
"wandb_group": null,
"wandb_job_type": "SF",
"wandb_tags": [],
"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,
"env_agents": 512,
"command_line": "--seed=1111 --experiment=20221014_2B__atari_atlantis_1111 --env=atari_atlantis --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",
"cli_args": {
"algo": "APPO",
"env": "atari_atlantis",
"experiment": "20221014_2B__atari_atlantis_1111",
"train_dir": "/gpfsscratch/rech/ajs/utv52ia/sample_factory/train_dir/atari_2b",
"seed": 1111,
"num_policies": 1,
"async_rl": true,
"batched_sampling": true,
"worker_num_splits": 1,
"num_workers": 4,
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"num_batches_per_epoch": 8,
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"gamma": 0.99,
"normalize_returns": true,
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"max_grad_norm": 0.0,
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"normalize_input": true,
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"decorrelate_experience_max_seconds": 1,
"train_for_env_steps": 2000000000,
"train_for_seconds": 3600000,
"save_milestones_sec": 1200,
"benchmark": false,
"encoder_conv_architecture": "convnet_atari",
"encoder_conv_mlp_layers": [
512
],
"nonlinearity": "relu",
"env_agents": 512
},
"git_hash": "unknown",
"git_repo_name": "not a git repository"
} |