Spaces:
Sleeping
Sleeping
from easydict import EasyDict | |
n_bits = 5 # 15 or 20 n_bits can show differences between pure DQN and HER DQN, 5 n_bits for unittest | |
bitflip_her_dqn_config = dict( | |
exp_name='bitflip_{}bit_herdqn_seed0'.format(n_bits), | |
env=dict( | |
collector_env_num=8, | |
evaluator_env_num=16, | |
n_bits=n_bits, | |
n_evaluator_episode=16, | |
stop_value=0.9, | |
), | |
policy=dict( | |
cuda=False, | |
model=dict( | |
obs_shape=2 * n_bits, | |
action_shape=n_bits, | |
encoder_hidden_size_list=[128, 128, 64], | |
dueling=True, | |
), | |
# == Different from most DQN algorithms == | |
# If discount_factor(gamma) > 0.9, it would be very difficult to converge | |
discount_factor=0.8, | |
learn=dict( | |
update_per_collect=10, | |
# batch_size = episode_size * sample_per_episode | |
# You can refer to cfg.other.her to learn about `episode_size` and `sample_per_episode` | |
batch_size=128, | |
learning_rate=0.0005, | |
target_update_freq=500, | |
), | |
collect=dict( | |
n_episode=8, | |
unroll_len=1, | |
), | |
eval=dict(evaluator=dict(eval_freq=1000)), | |
other=dict( | |
# == Different from most DQN algorithms == | |
# Fix epsilon to 0.2 leads to easier convergence, proposed in the paper. | |
eps=dict( | |
type='exp', | |
start=0.2, # 0.8 | |
end=0.2, # original0.1, paper0.15~0.2 | |
decay=100, # 10000 | |
), | |
replay_buffer=dict(replay_buffer_size=4000, ), | |
her=dict( | |
her_strategy='future', | |
# her_replay_k=2, # `her_replay_k` is not used in episodic HER | |
# Sample how many episodes in each train iteration. | |
episode_size=32, | |
# Generate how many samples from one episode. | |
sample_per_episode=4, | |
), | |
), | |
), | |
) | |
bitflip_her_dqn_config = EasyDict(bitflip_her_dqn_config) | |
main_config = bitflip_her_dqn_config | |
bitflip_her_dqn_create_config = dict( | |
env=dict( | |
type='bitflip', | |
import_names=['dizoo.bitflip.envs.bitflip_env'], | |
), | |
env_manager=dict(type='base'), | |
policy=dict(type='dqn'), | |
replay_buffer=dict(type='episode'), | |
collector=dict(type='episode'), | |
) | |
bitflip_her_dqn_create_config = EasyDict(bitflip_her_dqn_create_config) | |
create_config = bitflip_her_dqn_create_config | |
if __name__ == '__main__': | |
from dizoo.bitflip.entry.bitflip_dqn_main import main | |
main(main_config, seed=0) | |