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Atari: CleanRL's DQN

Created on March 16|Last edited on May 9

videos
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2M4M6M8MSteps0200400600800Episodic Return
CleanRL's dqn_atari.py
Run set
7
Name
7 visualized
1
7
State
Notes
User
Tags
Created
Runtime
Sweep
anneal_lr
batch_size
buffer_size
capture_video
clip_coef
clip_vloss
cuda
end_e
ent_coef
env_id
exp_name
exploration_fraction
exploration_noise
gae
gae_lambda
gamma
learning_rate
learning_starts
max_grad_norm
minibatch_size
noise_clip
norm_adv
num_envs
num_minibatches
num_steps
policy_frequency
seed
start_e
target_network_frequency
tau
torch_deterministic
total_timesteps
track
train_frequency
update_epochs
vf_coef
wandb_entity
wandb_project_name
actor_device_ids
actor_devices
adv_norm_fullbatch
alpha
anneal_steps
async_batch_size
Finished
-
costa-huang
12mo 3d 8h 19m 31s
-
-
32
1000000
true
-
-
true
0.01
-
BreakoutNoFrameskip-v4
dqn_atari
0.1
-
-
-
0.99
0.0001
80000
-
-
-
-
-
-
-
-
1.85714
1
1000
1
true
10000000
true
4
-
-
-
cleanRL
-
-
-
-
-
-
1-1
of 1



Run set
7



Run set
7