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chore(exp): add original han parameter experiments
This commit adds the experimental configs that contain the original parameters in Han et al's codebase.
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48 changes: 48 additions & 0 deletions
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...rameters/han2020_reproduction_lac_cartpole_cost_alpha3_tune_experiment_han_parameters.yml
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alg_name: lac | ||
exp_name: han2020_reproduction_lac_cartpole_cost_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:CartPoleCost-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 250 | ||
epochs: 489 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 78456 48104 567 3658 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
48 changes: 48 additions & 0 deletions
48
.../han2020_reproduction_lac_cartpole_cost_alpha3_tune_experiment_seed234_han_parameters.yml
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alg_name: lac | ||
exp_name: han2020_reproduction_lac_cartpole_cost_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:CartPoleCost-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 250 | ||
epochs: 489 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
48 changes: 48 additions & 0 deletions
48
...han2020_reproduction_lac_cartpole_cost_alpha3_tune_experiment_seed3658_han_parameters.yml
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@@ -0,0 +1,48 @@ | ||
alg_name: lac | ||
exp_name: han2020_reproduction_lac_cartpole_cost_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:CartPoleCost-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 250 | ||
epochs: 489 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 3658 # 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
48 changes: 48 additions & 0 deletions
48
...an2020_reproduction_lac_cartpole_cost_alpha3_tune_experiment_seed48104_han_parameters.yml
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@@ -0,0 +1,48 @@ | ||
alg_name: lac | ||
exp_name: han2020_reproduction_lac_cartpole_cost_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:CartPoleCost-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 250 | ||
epochs: 489 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 48104 # 567 3658 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
48 changes: 48 additions & 0 deletions
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.../han2020_reproduction_lac_cartpole_cost_alpha3_tune_experiment_seed567_han_parameters.yml
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---|---|---|
@@ -0,0 +1,48 @@ | ||
alg_name: lac | ||
exp_name: han2020_reproduction_lac_cartpole_cost_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:CartPoleCost-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 250 | ||
epochs: 489 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 567 # 3658 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
48 changes: 48 additions & 0 deletions
48
...an2020_reproduction_lac_cartpole_cost_alpha3_tune_experiment_seed78456_han_parameters.yml
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---|---|---|
@@ -0,0 +1,48 @@ | ||
alg_name: lac | ||
exp_name: han2020_reproduction_lac_cartpole_cost_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:CartPoleCost-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 250 | ||
epochs: 489 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-10" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 78456 # 48104 567 3658 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
48 changes: 48 additions & 0 deletions
48
...han2020_reproduction_lac_oscillator_complicated_alpha3_tune_experiment_han_parameters.yml
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alg_name: lac | ||
exp_name: han2020_reproduction_lac_oscillator_complicated_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:OscillatorComplicated-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 400 | ||
epochs: 98 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 78456 48104 567 3658 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
48 changes: 48 additions & 0 deletions
48
...reproduction_lac_oscillator_complicated_alpha3_tune_experiment_seed234_han_parameters.yml
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@@ -0,0 +1,48 @@ | ||
alg_name: lac | ||
exp_name: han2020_reproduction_lac_oscillator_complicated_alpha3_tune_exp_han_parameters | ||
env_name: "stable_gym:OscillatorComplicated-v1" | ||
ac_kwargs: | ||
hidden_sizes: | ||
actor: [64, 64] | ||
critic: [64, 64, 16] | ||
activation: | ||
actor: "nn.ReLU" | ||
critic: "nn.ReLU" | ||
output_activation: | ||
actor: "nn.ReLU" | ||
opt_type: "minimize" | ||
max_ep_len: 400 | ||
epochs: 98 | ||
steps_per_epoch: 2048 | ||
start_steps: 0 | ||
update_every: 100 | ||
update_after: 1000 | ||
steps_per_update: 80 | ||
num_test_episodes: 10 | ||
alpha: 2.0 | ||
alpha3: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 # NOTE: Tuning alpha3. | ||
labda: 0.99 # NOTE: Decreased from 1.0 to 0.99 for stability. | ||
# gamma: 0.995 # NOTE: Not used for finite horizon tasks. | ||
polyak: 0.995 | ||
adaptive_temperature: True | ||
lr_a: "1e-4" | ||
lr_c: "3e-4" | ||
lr_alpha: "1e-4" | ||
lr_labda: "1e-4" | ||
lr_a_final: "1e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_c_final: "3e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_alpha_final: "1e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_labda_final: "1e-9" # NOTE: Not in Han et al. 2020, but aligned with original code. | ||
lr_a_decay_type: "linear" | ||
lr_c_decay_type: "linear" | ||
lr_alpha_decay_type: "linear" | ||
lr_labda_decay_type: "constant" | ||
lr_decay_ref: "step" | ||
batch_size: 256 | ||
replay_size: "int(1e6)" | ||
horizon_length: 5 | ||
seed: 234 # NOTE: Using 5 seeds for tuning. | ||
save_freq: 10 | ||
use_wandb: True | ||
wandb_group: "han2020_reproduction_han_parameters" | ||
device: "gpu:1" |
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