78 lines
1.2 KiB
YAML
78 lines
1.2 KiB
YAML
name: DEFAULT
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project: alpha
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slurm:
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name: False
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partition: "single"
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num_parallel_jobs: 64
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cpus-per-task: 1
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mem-per-cpu: 3000
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time: 1440 # in minutes
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repetitions: 3
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agents_per_job: 3
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reps_per_agent: 1
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total_timesteps: 10000
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video:
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enable: True
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length: 3000
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frequency: 100
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test:
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enable: True
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length: 3000
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frequency: 100 # 32 # 10
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deterministic: Both
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num_envs: 1
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env:
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name: BoxPushingDense-v0
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legacy_fancy: True
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normalize_obs: True
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normalize_rew: True
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num_envs: 1
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env_args:
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more_obs:True
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algo:
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name: PPO
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policy_name: MlpPolicy
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n_steps: 4096
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vf_coef: 1.0e-5
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learning_rate: 5.0e-5
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batch_size: 512
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action_coef: 0
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ent_coef: 0
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normalize_advantage: False # True
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pca:
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enable: False
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window: 64
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skip_conditioning: True
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Base_Noise: WHITE
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init_std: 1.0
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---
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sweep:
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enable: True
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method: random,
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metric:
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goal: minimize,
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name: score
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parameters:
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lel: lol
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---
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ablative:
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task:
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add_time_awareness: [True]
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add_normalize_obs: [False]
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env_args:
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more_obs: [True]
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algorithm:
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network:
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#ent_coef: [0, 0.001, 0.003]
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normalize_advantage: [True]
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distribution:
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init_std: [0.5]
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