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TSP Single Agent

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Steffen Illium
2021-11-25 14:48:34 +01:00
parent 3c84ba483b
commit 3d81b7577d
6 changed files with 145 additions and 42 deletions
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64
studies/e_1.py
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@ -75,7 +75,7 @@ baseline_monitor_file = 'e_1_baseline'
from stable_baselines3 import A2C
def policy_model_kwargs():
return dict(gae_lambda=0.25, n_steps=16, max_grad_norm=0, use_rms_prop=False)
return dict(gae_lambda=0.25, n_steps=16, max_grad_norm=0, use_rms_prop=True)
def dqn_model_kwargs():
@ -203,7 +203,7 @@ if __name__ == '__main__':
frames_to_stack = 3
# Define a global studi save path
start_time = 'adam_no_weight_decay' # int(time.time())
start_time = 'rms_weight_decay_0' # int(time.time())
study_root_path = Path(__file__).parent.parent / 'study_out' / f'{Path(__file__).stem}_{start_time}'
# Define Global Env Parameters
@ -285,36 +285,36 @@ if __name__ == '__main__':
pomdp_r=2)
)
)})
observation_modes.update({
'seperate_N': dict(
post_training_kwargs=
dict(obs_prop=ObservationProperties(
render_agents=AgentRenderOptions.COMBINED,
additional_agent_placeholder=None,
omit_agent_self=True,
frames_to_stack=frames_to_stack,
pomdp_r=2)
),
additional_env_kwargs=
dict(obs_prop=ObservationProperties(
render_agents=AgentRenderOptions.NOT,
additional_agent_placeholder='N',
omit_agent_self=True,
frames_to_stack=frames_to_stack,
pomdp_r=2)
)
)})
observation_modes.update({
'in_lvl_obs': dict(
post_training_kwargs=
dict(obs_prop=ObservationProperties(
render_agents=AgentRenderOptions.LEVEL,
omit_agent_self=True,
additional_agent_placeholder=None,
frames_to_stack=frames_to_stack,
pomdp_r=2)
)
)})
observation_modes.update({
'seperate_N': dict(
post_training_kwargs=
dict(obs_prop=ObservationProperties(
render_agents=AgentRenderOptions.COMBINED,
additional_agent_placeholder=None,
omit_agent_self=True,
frames_to_stack=frames_to_stack,
pomdp_r=2)
),
additional_env_kwargs=
dict(obs_prop=ObservationProperties(
render_agents=AgentRenderOptions.NOT,
additional_agent_placeholder='N',
omit_agent_self=True,
frames_to_stack=frames_to_stack,
pomdp_r=2)
)
)})
observation_modes.update({
'in_lvl_obs': dict(
post_training_kwargs=
dict(obs_prop=ObservationProperties(
render_agents=AgentRenderOptions.LEVEL,
omit_agent_self=True,
additional_agent_placeholder=None,
frames_to_stack=frames_to_stack,
pomdp_r=2)
)
)})
observation_modes.update({
# No further adjustment needed
'no_obs': dict(