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config.yaml
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config.yaml
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extra_hyperparameters: &extra_hyperparameters
standardized_adv: False
lr_account_for_nbr_actor: False
# BetaVAE:
use_vae: False
vae_weight: 1e0
vae_nbr_latent_dim: 128
vae_decoder_nbr_layer: 3#4
vae_decoder_conv_dim: 128
cnn_encoder_feature_dim: 128 #vae_nbr_latent_dim
vae_beta: 1e2
vae_max_capacity: 1e2
vae_nbr_epoch_till_max_capacity: 20
vae_constrainedEncoding: False
vae_tc_discriminator_hidden_units: [256,256,256,256,2] #tuple([2*cnn_encoder_feature_dim']]*4+[2])
# Random Network Distillation:
use_random_network_distillation: False
intrinsic_discount: 0.99
rnd_loss_int_ratio: 0.5
rnd_obs_clip: 5
rnd_non_episodic_int_r: True
rnd_update_period_running_meanstd_int_reward: 1.e5
rnd_update_period_running_meanstd_obs: 1.e5 #rnd_update_period_running_meanstd_int_reward
# RND Convolutional Architecture:
rnd_arch: 'CNN'
rnd_arch_channels: [32, 64, 64]
rnd_arch_kernels: [8, 4, 3]
rnd_arch_strides: [4, 2, 1]
rnd_arch_paddings: [0, 1, 1]
rnd_arch_feature_dim: 512
# RND Fully-Connected Architecture:
#rnd_feature_net_fc_arch_hidden_units: (128, 64)
ppo_NatureCNN_graclip05_b32_h512_lr14_obs84: &ppo_NatureCNN_graclip05_b32_h512_lr14_obs84
nbr_frame_stacking: 1
observation_resize_dim: 84
discount: 0.99
use_gae: True
use_cuda: True
gae_tau: 0.95
value_weight: 1.0
entropy_weight: 0.02
gradient_clip: 0.5
optimization_epochs: 10
mini_batch_size: 32
ppo_ratio_clip: 0.2
learning_rate: 1.e-4
adam_eps: 1.0e-8
#nbr_actor: 4
horizon: 512
phi_arch: 'CNN' #'MLP' #'CNN-GRU-RNN'
actor_arch: 'MLP'
critic_arch: 'MLP'
# Phi Body: Nature:
phi_arch_channels: [32, 64, 64] # [32, 64, 32]
phi_arch_kernels: [8, 4, 3]
phi_arch_strides: [4, 2, 1]
phi_arch_paddings: [1, 1, 1]
phi_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
phi_arch_hidden_units: [512,]
<<: *extra_hyperparameters
ppo_baselineCNN_graclip05_b32_h512_lr14_obs84: &ppo_baselineCNN_graclip05_b32_h512_lr14_obs84
nbr_frame_stacking: 1
observation_resize_dim: 84
discount: 0.99
use_gae: True
use_cuda: True
gae_tau: 0.95
value_weight: 1.0
entropy_weight: 0.02
gradient_clip: 0.5
optimization_epochs: 10
mini_batch_size: 32
ppo_ratio_clip: 0.2
learning_rate: 1.e-4
adam_eps: 1.0e-8
#nbr_actor: 4
horizon: 512
phi_arch: 'CNN' #'MLP' #'CNN-GRU-RNN'
actor_arch: 'MLP'
critic_arch: 'MLP'
# Phi Body: Nature:
phi_arch_channels: [32, 64, 64] # [32, 64, 32]
phi_arch_kernels: [8, 4, 3]
phi_arch_strides: [4, 2, 1]
phi_arch_paddings: [1, 1, 1]
phi_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
phi_arch_hidden_units: [512,]
# Actor architecture:
actor_arch_hidden_units: [512,]
# Critic architecture:
critic_arch_hidden_units: [512,]
<<: *extra_hyperparameters
ppo_LargeCNN_graclip05_b32_h512_lr14_obs84: &ppo_LargeCNN_graclip05_b32_h512_lr14_obs84
nbr_frame_stacking: 1
observation_resize_dim: 84
discount: 0.99
use_gae: True
use_cuda: True
gae_tau: 0.95
value_weight: 1.0
entropy_weight: 0.01
gradient_clip: 0.5
optimization_epochs: 3
mini_batch_size: 256
ppo_ratio_clip: 0.1
learning_rate: 2.5e-4
adam_eps: 1.0e-8
#nbr_actor: 4
horizon: 128
phi_arch: 'CNN' #'MLP' #'CNN-GRU-RNN'
actor_arch: 'None'
critic_arch: 'None'
# Phi Body: Nature:
phi_arch_channels: [32, 64, 64] # [32, 64, 32]
phi_arch_kernels: [8, 4, 3]
phi_arch_strides: [4, 2, 1]
phi_arch_paddings: [1, 1, 1]
phi_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
phi_arch_hidden_units: [512,]
# Actor architecture:
actor_arch_hidden_units: []
# Critic architecture:
critic_arch_hidden_units: []
<<: *extra_hyperparameters
ppo_baselineCNNActorCritic_graclip05_b32_h512_lr14_obs84: &ppo_baselineCNNActorCritic_graclip05_b32_h512_lr14_obs84
nbr_frame_stacking: 1
observation_resize_dim: 84
discount: 0.99
use_gae: True
use_cuda: True
gae_tau: 0.95
value_weight: 1.0
entropy_weight: 0.02
gradient_clip: 0.5
optimization_epochs: 10
mini_batch_size: 32
ppo_ratio_clip: 0.2
learning_rate: 1.e-4
adam_eps: 1.0e-8
#nbr_actor: 4
horizon: 512
phi_arch: None #'MLP' #'CNN-GRU-RNN'
actor_arch: 'CNN'
critic_arch: 'CNN'
# Phi Body: Nature:
phi_arch_channels: [32, 64, 64] # [32, 64, 32]
phi_arch_kernels: [8, 4, 3]
phi_arch_strides: [4, 2, 1]
phi_arch_paddings: [1, 1, 1]
phi_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
phi_arch_hidden_units: [512,]
# Actor architecture:
actor_arch_hidden_units: [512,]
# CNN:
actor_arch_channels: [32, 64, 64] # [32, 64, 32]
actor_arch_kernels: [8, 4, 3]
actor_arch_strides: [4, 2, 1]
actor_arch_paddings: [1, 1, 1]
actor_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
# Critic architecture:
critic_arch_hidden_units: [512,]
# CNN:
critic_arch_channels: [32, 64, 64] # [32, 64, 32]
critic_arch_kernels: [8, 4, 3]
critic_arch_strides: [4, 2, 1]
critic_arch_paddings: [1, 1, 1]
critic_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
<<: *extra_hyperparameters
ppo_DQNCNN_graclip05_ep3_b32_h128_lr254_obs84: &ppo_DQNCNN_graclip05_ep3_b32_h128_lr254_obs84
nbr_frame_stacking: 1
observation_resize_dim: 84
discount: 0.99
use_gae: True
use_cuda: True
gae_tau: 0.95
value_weight: 1.0
entropy_weight: 0.01
gradient_clip: 0.5
optimization_epochs: 3
mini_batch_size: 32
ppo_ratio_clip: 0.2
learning_rate: 2.5e-4
adam_eps: 1.0e-8
#nbr_actor: 4
horizon: 128
phi_arch: 'CNN' #'MLP' #'CNN-GRU-RNN'
actor_arch: 'MLP'
critic_arch: 'MLP'
# Phi Body: Nature:
phi_arch_channels: [16, 32]
phi_arch_kernels: [8, 4]
phi_arch_strides: [4, 2]
phi_arch_paddings: [1, 1]
phi_arch_feature_dim: 256 #vae_nbr_latent_dim']#512
phi_arch_hidden_units: [256,]
# Actor architecture:
actor_arch_hidden_units: [512,]
# CNN:
#actor_arch_channels: [32, 64, 64] # [32, 64, 32]
#actor_arch_kernels: [8, 4, 3]
#actor_arch_strides: [4, 2, 1]
#actor_arch_paddings: [1, 1, 1]
#actor_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
# Critic architecture:
critic_arch_hidden_units: [512,]
# CNN:
#critic_arch_channels: [32, 64, 64] # [32, 64, 32]
#critic_arch_kernels: [8, 4, 3]
#critic_arch_strides: [4, 2, 1]
#critic_arch_paddings: [1, 1, 1]
#critic_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
<<: *extra_hyperparameters
a2c_DQNCNN_NOGAE_NOStdAdv_graclip05_ep1_b32_h20_lr7e4_obs84: &a2c_DQNCNN_NOGAE_NOStdAdv_graclip05_ep1_b32_h20_lr7e4_obs84
nbr_frame_stacking: 1
observation_resize_dim: 84
discount: 0.99
use_gae: False
use_cuda: True
gae_tau: 0.95
entropy_weight: 0.1 # LEGACY PARAMETER
gradient_clip: 0.5
optimization_epochs: 1 # LEGACY PARAMETER
mini_batch_size: 32
learning_rate: 7.0e-4
optimizer_eps: 1.0e-5
optimizer_alpha: 0.99
#nbr_actor: 16
horizon: 20 # DEFAULT: 5
phi_arch: 'CNN' #'MLP' #'CNN-GRU-RNN'
actor_arch: 'MLP'
critic_arch: 'MLP'
# Phi Body: Nature:
phi_arch_channels: [16, 32]
phi_arch_kernels: [8, 4]
phi_arch_strides: [4, 2]
phi_arch_paddings: [1, 1]
phi_arch_feature_dim: 256 #vae_nbr_latent_dim']#512
phi_arch_hidden_units: [256,]
# Actor architecture:
actor_arch_hidden_units: [512,]
# CNN:
#actor_arch_channels: [32, 64, 64] # [32, 64, 32]
#actor_arch_kernels: [8, 4, 3]
#actor_arch_strides: [4, 2, 1]
#actor_arch_paddings: [1, 1, 1]
#actor_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
# Critic architecture:
critic_arch_hidden_units: [512,]
# CNN:
#critic_arch_channels: [32, 64, 64] # [32, 64, 32]
#critic_arch_kernels: [8, 4, 3]
#critic_arch_strides: [4, 2, 1]
#critic_arch_paddings: [1, 1, 1]
#critic_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
<<: *extra_hyperparameters
a2c_NIPS_graclip3e0_ep1_b32_h5_lr7e4XNbrActor_obs84: &a2c_NIPS_graclip3e0_ep1_b32_h5_lr7e4XNbrActor_obs84
nbr_frame_stacking: 1
observation_resize_dim: 84
discount: 0.99
use_gae: False
use_cuda: True
gae_tau: 0.95
entropy_weight: 0.02
gradient_clip: 3.0
optimization_epochs: 1 # LEGACY PARAMETER
mini_batch_size: 32
learning_rate: 7.0e-4
optimizer_eps: 1.0e-1
optimizer_alpha: 0.99
#nbr_actor: 16
horizon: 5 # DEFAULT: 5
phi_arch: 'CNN' #'MLP' #'CNN-GRU-RNN'
actor_arch: 'MLP'
critic_arch: 'MLP'
# Phi Body: Nature:
phi_arch_channels: [16, 32]
phi_arch_kernels: [8, 4]
phi_arch_strides: [4, 2]
phi_arch_paddings: [1, 1]
phi_arch_feature_dim: 256 #vae_nbr_latent_dim']#512
phi_arch_hidden_units: [256,]
# Actor architecture:
actor_arch_hidden_units: [256,]
# CNN:
#actor_arch_channels: [32, 64, 64] # [32, 64, 32]
#actor_arch_kernels: [8, 4, 3]
#actor_arch_strides: [4, 2, 1]
#actor_arch_paddings: [1, 1, 1]
#actor_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
# Critic architecture:
critic_arch_hidden_units: [256,]
# CNN:
#critic_arch_channels: [32, 64, 64] # [32, 64, 32]
#critic_arch_kernels: [8, 4, 3]
#critic_arch_strides: [4, 2, 1]
#critic_arch_paddings: [1, 1, 1]
#critic_arch_feature_dim: 512 #vae_nbr_latent_dim']#512
<<: *extra_hyperparameters
experiment:
tasks: [{'env-id': 'QbertNoFrameskip-v4',
#{'env-id': 'BreakoutDeterministic-v4',
#{'env-id': 'PongDeterministic-v4',
#{'env-id': 'PongDeterministic-v4',
#{'env-id': 'BreakoutNoFrameskip-v4',
#{'env-id': 'SeaquestNoFrameskip-v4',
#{'env-id': 'BoxingNoFrameskip-v4',
'run-id': 'Multinomial+SingLifeClipReward_EPS30_Seed131_penv_ppo_8actors_RLLOOPRESET+BaselineWrap+Max+Sk4_St4_Obs84_Grayscale_RandNoOpStart30',
#'run-id': 'SingLife_EPS30_Seed131_penv_ppo_8actors_RLLOOPRESET+BaselineWrap+Max+Sk4_St4_Obs84_Grayscale_RandNoOpStart30',
#'agent-id': 'ppo_baselineCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b32_gamma0.99_lr2.5e-4XNbrActor_ent0.0',
#'agent-id': 'ppo_baselineCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b256_gamma0.99_lr2.5e-4_ent0.01',
#'agent-id': 'ppo_baselineCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b32_gamma0.99_lr2.5e-4_ent0.01',
'agent-id': 'ppo_LargeCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b256_gamma0.99_lr2.5e-4_ent0.01',
#'run-id': 'regidx_bootstrapped_a2c_DQNCNN_8actors_Sk4_St4_Obs84',
#'run-id': 'vecenv_a2c_16actors_Sk1_St4_Obs84_Grayscale',
#'run-id': 'penv_w4_a2c_32actors_Sk4_St4_Obs84_Grayscale_RandStart',
#'run-id': 'vecenv_a2c_16actors_Sk4_St4_Obs84_Grayscale',
#'run-id': 'NoNormAdvReLUFFC_penv_a2c_16actors_Sk1_St4_Obs84_Grayscale_RandNoOpStart30',
#'agent-id': 'a2c_DQNCNN_NOGAE_NOStdAdv_graclip05_ep1_b32_h20_lr7e4_obs84_ent0.1',
#'agent-id': 'a2c_NIPS_NOGAE_NOStdAdv_graclip3.0_ep1_bNone_h20_lr7e4XNbrActor_obs84_ent0.1',
#'agent-id': 'a2c_NIPS_NOGAE_NOStdAdv_graclip40.0_eps0.1_alpha0.99_ep1_bNone_h5_lr7e5XNbrActor_obs84_ent0.01',
'nbr_actor': 1,
'nbr_frame_skipping': 4,
'act_rand_repeat': False,
'nbr_frame_stacking': 4,
'grayscale': True,
'single_life_episode': True,
'nbr_max_random_steps': 30,
'clip_reward': True,
'observation_resize_dim': 84
},
#{'env-id': 'MiniWorld-OneRoomS6Fast-v0',
# 'agent-id': 'ppo_scnn_lr3_obs84_initXavier',
# 'nbr_actors': 32,
# 'nbr_frame_skipping': 4,
# 'nbr_frame_stacking': 4,
# 'observation_resize_dim': 84
# },
#{'env-id': 'SeaquestNoFrameskip-v4',
# 'agent-id': 'ppo',
# 'nbr_actors': 32,
# 'nbr_frame_skipping': 4,
# 'nbr_frame_stacking': 4,
# 'observation_resize_dim': 64
# },
# {'env-id': 'Pong-v0',
# 'agent-id': 'ppo',
# 'nbr_actors': 32,
# 'nbr_frame_skipping': 4,
# 'nbr_frame_stacking': 4,
# 'observation_resize_dim': 64
# }
]
experiment_id: 'benchmark-test'
benchmarking_episodes: 10
train_observation_budget: 1.0e7
seed: 131
agents:
ppo_distlogit_outloopOldPred_paper_GAE_ep10_clip0.2_gradclip0.5_b256_lr2.5e-4_ent0.01_16actors_NoNormR_Sk1:
<<: *ppo_DQNCNN_graclip05_ep3_b32_h128_lr254_obs84
nbr_actors: 16
ppo_ratio_clip: 0.2
entropy_weight: 0.01
use_gae: True
horizon: 128
learning_rate: 2.5e-4
mini_batch_size: 256
optimization_epochs: 10
gradient_clip: 0.5
ppo_NatureCNN_GAE_ep3_clip0.1_gradclip0.5_b256_lr2.5e-4_ent0.01:
<<: *ppo_NatureCNN_graclip05_b32_h512_lr14_obs84
ppo_ratio_clip: 0.1
entropy_weight: 0.01
use_gae: True
horizon: 128
learning_rate: 2.5e-4
mini_batch_size: 256
optimization_epochs: 3
gradient_clip: 0.5
ppo_NatureCNN_NOGAE_ep3_clip0.1_gradclip0.5_b256_lr2.5e-4_ent0.01:
<<: *ppo_NatureCNN_graclip05_b32_h512_lr14_obs84
ppo_ratio_clip: 0.1
entropy_weight: 0.01
use_gae: False
horizon: 128
learning_rate: 2.5e-4
mini_batch_size: 256
optimization_epochs: 3
gradient_clip: 0.5
ppo_NatureCNN_GAE_ep3_clip0.1_gradclip0.5_b256_lr2.5e-4_ent0.01:
<<: *ppo_NatureCNN_graclip05_b32_h512_lr14_obs84
ppo_ratio_clip: 0.1
entropy_weight: 0.01
use_gae: True
horizon: 128
learning_rate: 2.5e-4
mini_batch_size: 256
optimization_epochs: 3
gradient_clip: 0.5
#ppo_baselineCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b32_gamma0.99_lr2.5e-4XNbrActor_ent0.0:
#ppo_baselineCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b256_gamma0.99_lr2.5e-4_ent0.0:
ppo_baselineCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b256_gamma0.99_lr2.5e-4_ent0.01:
<<: *ppo_baselineCNN_graclip05_b32_h512_lr14_obs84
standardized_adv: True
lr_account_for_nbr_actor: False
ppo_ratio_clip: 0.1
entropy_weight: 0.01
use_gae: True
gae_tau: 0.95
horizon: 128
learning_rate: 2.5e-4
mini_batch_size: 256
optimization_epochs: 3
gradient_clip: 0.5
ppo_LargeCNN_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b256_gamma0.99_lr2.5e-4_ent0.01:
<<: *ppo_LargeCNN_graclip05_b32_h512_lr14_obs84
standardized_adv: True
lr_account_for_nbr_actor: False
ppo_ratio_clip: 0.1
entropy_weight: 0.01
use_gae: True
gae_tau: 0.95
horizon: 128
learning_rate: 2.5e-4
mini_batch_size: 256
optimization_epochs: 3
gradient_clip: 0.5
ppo_baselineCNNActorCritic_GAE0.95_ep3_clip0.1_gradclip0.5_h128_b32_gamma0.99_lr2.5e-4_ent0.01:
<<: *ppo_baselineCNNActorCritic_graclip05_b32_h512_lr14_obs84
ppo_ratio_clip: 0.1
entropy_weight: 0.01
use_gae: True
gae_tau: 0.95
horizon: 128
learning_rate: 2.5e-4
mini_batch_size: 32
optimization_epochs: 3
gradient_clip: 0.5
a2c_DQNCNN_NOGAE_NOStdAdv_graclip05_ep1_b32_h20_lr7e4_obs84_ent0.1:
<<: *a2c_DQNCNN_NOGAE_NOStdAdv_graclip05_ep1_b32_h20_lr7e4_obs84
entropy_weight: 0.1
learning_rate: 7.0e-4
a2c_NIPS_NOGAE_NOStdAdv_graclip40.0_eps0.1_alpha0.99_ep1_bNone_h5_lr7e5XNbrActor_obs84_ent0.01:
<<: *a2c_NIPS_graclip3e0_ep1_b32_h5_lr7e4XNbrActor_obs84
use_gae: False
gradient_clip: 40.0
entropy_weight: 0.01
standardized_adv: False
mini_batch_size: None
horizon: 5
learning_rate: 7.0e-5
optimizer_eps: 0.1
optimizer_alpha: 0.99